This project report summarizes a study of the quantum mechanical properties of a double heterostructure LED. A double heterostructure LED contains a thin central region of one semiconductor material surrounded by layers of a different semiconductor material with a wider bandgap. This creates a quantum well that confines electrons and holes. The report aims to calculate the energy levels in the quantum well by solving the Schrodinger equation for a finite potential well model of the confined central region. Understanding the energy levels provides insight into the wavelength of light emitted by electron-hole recombination in the LED. The report covers background topics on semiconductors, LEDs, heterojunction structures, and the Schrodinger equation to provide context for the quantum mechanical
This document provides information about a course on semiconductor devices, including bipolar junction transistors (BJTs). It lists the course aims as reviewing diode and BJT operation, extending knowledge to include recombination influences, investigating speed limitations, and extracting equivalent circuit models. It recommends textbooks and outlines the course topics as reviewing semiconductor devices and pn diodes, studying long pn diodes incorporating recombination, examining BJT DC operation and switching characteristics, and why studying devices is important.
Any form of education in an engineering or science discipline is incomplete without a means of testing and appreciating theories learned in class. The ability to carry out experimentation demonstrating theories through laboratory work is an integral part of an engineering, science and technology education. In laboratories, students can learn how to process real data, understand and appreciate discrepancies between their observations and the predictions according to theories. Not only do students appreciate those discrepancies, they learn how to make compromises to minimize the imperfections of their observations. This is a valuable skill for an engineer to have as engineers are problem solvers.
This document discusses basic concepts in electrical circuits including charge, current, voltage, power, energy, circuit elements, resistors, capacitors, inductors, and circuit theorems. It defines:
- Charge as an electrical property measured in coulombs.
- Current as the motion of charge through a conductor measured in amperes.
- Voltage as the energy required to move charge from one point to another measured in volts.
- Power as the rate of expending or absorbing energy measured in watts.
- Basic circuit elements like resistors, capacitors, and inductors.
- Kirchhoff's laws and theorems for circuit analysis like Ohm's law, superposition, Theven
The document discusses semiconductor materials and light emitting diodes (LEDs). It begins by explaining the energy band structure of semiconductors and the process of optical emission. It then describes intrinsic and extrinsic semiconductors. The document goes on to discuss p-n junction diodes and how they allow for carrier recombination and light emission. It also covers LED structures like planar LEDs and dome LEDs, and the materials used to emit different wavelengths of light in LEDs.
The document provides course details for the 3rd and 4th semesters of the Computer Science and Engineering (CSE) and Information Technology (IT) programs at Biju Patnik University of Technology.
For the 3rd semester, there are 22 credits of theory courses covering topics like Mathematics III, Network Theory, Physics of Semiconductor Devices, and Object Oriented Programming. There are also 6 credits of practical/sessional courses including Analog Electronics Lab and Object Oriented Programming Lab.
Similarly, for the 4th semester there are 21 credits of theory courses covering Discrete Mathematics, System Programming, Database Engineering, and more. The practical/sessional courses total to 6 credits and include labs on Digital Electronics Circuit
Principles And Applications of Electrical Engineering 6th Edition Rizzoni Sol...HaleeMolina
FUll download : https://alibabadownload.com/product/principles-and-applications-of-electrical-engineering-6th-edition-rizzoni-solutions-manual/ Principles And Applications of Electrical Engineering 6th Edition Rizzoni Solutions Manual
This document provides information about a course on semiconductor devices, including bipolar junction transistors (BJTs). It lists the course aims as reviewing diode and BJT operation, extending knowledge to include recombination influences, investigating speed limitations, and extracting equivalent circuit models. It recommends textbooks and outlines the course topics as reviewing semiconductor devices and pn diodes, studying long pn diodes incorporating recombination, examining BJT DC operation and switching characteristics, and why studying devices is important.
Any form of education in an engineering or science discipline is incomplete without a means of testing and appreciating theories learned in class. The ability to carry out experimentation demonstrating theories through laboratory work is an integral part of an engineering, science and technology education. In laboratories, students can learn how to process real data, understand and appreciate discrepancies between their observations and the predictions according to theories. Not only do students appreciate those discrepancies, they learn how to make compromises to minimize the imperfections of their observations. This is a valuable skill for an engineer to have as engineers are problem solvers.
This document discusses basic concepts in electrical circuits including charge, current, voltage, power, energy, circuit elements, resistors, capacitors, inductors, and circuit theorems. It defines:
- Charge as an electrical property measured in coulombs.
- Current as the motion of charge through a conductor measured in amperes.
- Voltage as the energy required to move charge from one point to another measured in volts.
- Power as the rate of expending or absorbing energy measured in watts.
- Basic circuit elements like resistors, capacitors, and inductors.
- Kirchhoff's laws and theorems for circuit analysis like Ohm's law, superposition, Theven
The document discusses semiconductor materials and light emitting diodes (LEDs). It begins by explaining the energy band structure of semiconductors and the process of optical emission. It then describes intrinsic and extrinsic semiconductors. The document goes on to discuss p-n junction diodes and how they allow for carrier recombination and light emission. It also covers LED structures like planar LEDs and dome LEDs, and the materials used to emit different wavelengths of light in LEDs.
The document provides course details for the 3rd and 4th semesters of the Computer Science and Engineering (CSE) and Information Technology (IT) programs at Biju Patnik University of Technology.
For the 3rd semester, there are 22 credits of theory courses covering topics like Mathematics III, Network Theory, Physics of Semiconductor Devices, and Object Oriented Programming. There are also 6 credits of practical/sessional courses including Analog Electronics Lab and Object Oriented Programming Lab.
Similarly, for the 4th semester there are 21 credits of theory courses covering Discrete Mathematics, System Programming, Database Engineering, and more. The practical/sessional courses total to 6 credits and include labs on Digital Electronics Circuit
Principles And Applications of Electrical Engineering 6th Edition Rizzoni Sol...HaleeMolina
FUll download : https://alibabadownload.com/product/principles-and-applications-of-electrical-engineering-6th-edition-rizzoni-solutions-manual/ Principles And Applications of Electrical Engineering 6th Edition Rizzoni Solutions Manual
This paper discusses the principle of operation, dynamic modeling, and control design for light-to-light
(LtL) systems, whose aim is to directly convert the sun irradiation into artificial light. The system discussed in
this paper is composed by a photo- voltaic (PV) panel, an LED array, a dc–dc converter dedicated to the
maximum power point tracking of the PV panel and a dc–dc converter dedicated to drive the LEDs array. A
system controller is also included, whose goal is to ensure the matching between the maximum available PV
power and the LED power by means of a low-frequency LEDs dimming. An experimental design example is
discussed to illustrate the functionalities of the LtL system.
The document summarizes a presentation given at the IVth International Conference on Advances in Energy Research held in Mumbai, India from December 10-12, 2013. The presentation was titled "Power Output Maximization of Partially Shaded 4*4 PV field by Altering its Topology" and was authored by Smita Pareek and Dr. Ratna Dahiya from NIT Kurukshetra. The presentation discussed modeling photovoltaic modules and arrays, different interconnection schemes for arrays, simulating the schemes under partial shading conditions, and analyzing the results to determine the scheme that maximizes output power under the shading patterns studied.
The document discusses the differences between LEDs and laser diodes (ILDs) as optical sources for fiber optic communication systems. It outlines several parameters for comparing LEDs and ILDs, such as power, linearity, thermal considerations, response, and spectral width. ILDs are generally more powerful, have faster response, and narrower spectral width than LEDs. However, LEDs are easier to operate. The document then focuses on drive circuitry for modulating the optical sources, describing various circuit configurations for analog, digital, and high-speed transmission. Proper drive circuits are needed to maintain output power and compensate for non-linearities of the sources.
This master's dissertation analyzes electricity consumption at home through a K-means clustering algorithm using a silhouette score perspective. The dissertation contains two papers. Paper 1 analyzes a full home electricity usage dataset through K-means clustering to obtain optimal data points, evaluating cluster numbers using indices like Davis-Boulden and silhouette score. Paper 2 reduces the dataset to 1/8 size and finds similar results for silhouette score, showing the approach works on smaller datasets. The dissertation applies machine learning clustering techniques to optimize home electricity usage, costs, and predict factors driving overcharges.
This master's dissertation analyzes electricity consumption at home through K-means clustering and compares results using different dataset sizes and evaluation metrics. The dissertation contains two papers: the first analyzes a full home electricity usage dataset using K-means clustering and evaluates optimal cluster numbers with Calinski-Harabasz Index, Davis-Boulden Index, and silhouette score. The second analyzes a reduced 1/8 size dataset with K-means clustering and finds similar optimal cluster numbers based on silhouette score, demonstrating machine learning can produce consistent results even with smaller datasets. The dissertation applies machine learning algorithms to optimize home electricity usage and costs.
This master's dissertation analyzes electricity consumption at home through a K-means clustering algorithm using a silhouette score perspective. The dissertation contains two papers. Paper 1 uses K-means clustering on a full home electricity usage dataset to obtain optimal clusters, evaluated using Calinski-Harabasz Index, Davis-Boulden Index and silhouette score. Paper 2 reduces the dataset to 1/8 size and finds that the silhouette score results are similar, showing the approach is effective even on smaller datasets. The dissertation applies machine learning clustering techniques to optimize home electricity usage and costs.
AN IMPROVED ROUTING PROTOCOL SCHEME IN ADHOC NETWORKSIAEME Publication
Nowadays, with the rapid development of science and technology and the ever-increasing demand in every field, wireless sensor networks are emerging as a necessary scientific achievement to meet the demand of human in modern society. The wireless sensor network (WSN) is designed to help us not lose too much energy, workforce, avoid danger and they bring high efficiency to work. Various routing protocols are being used to increase the energy efficiency of the network, with two distinct types of protocols, homogenous and heterogeneous. In these two protocols, the SEP (Stable Election Protocol) is one of the most effective heterogeneous protocols which increase the stability of the network. In this paper, we propose an approaching the εFCM algorithm in clustering the SEP protocol which makes the WSN network more energy efficient. The simulation results showed that the SEP-εFCM proposed protocol performed better than the conventional SEP protocol
This paper describes the design of a low power RF to DC generator for energy harvesting applications. A 2x2 microstrip rectangular patch antenna array was designed to capture RF energy at 2.4GHz. A two-stage voltage doubler circuit with matching was also designed using Schottky diodes to convert the captured RF energy to a DC voltage. Simulation results showed the antenna array achieved a gain of 11.58dB and the voltage doubler produced a DC output voltage of 0.747V at -10dBm input power when loaded with 20kOhms. The system aims to harvest directed RF energy for powering wireless sensor nodes.
RF Energy Harvesting for Wireless DevicesIJERD Editor
Radio Frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to empower the next generation wireless networks. As this emerging technology enables proactive energy replenishment of wireless devices, it is advantageous in supporting applications with quality of service requirements. In this paper, some wireless power transfer methods, RF energy harvesting networks, various receiver architectures and existing applications are presented. Finally, some open research directions are envisioned.
The document provides a review of persistence of vision (POV) displays. It discusses how POV displays use the phenomenon of the human eye retaining images to create the illusion of motion from individual LEDs spinning at a high frequency. The summary discusses key components of the POV display like the Raspberry Pi, RGB LEDs, motors, and touch interface. It also outlines several applications for POV displays in education, gaming, and as an interactive display. The review concludes the POV display provides an improved viewing experience and new ways of interacting with displays compared to traditional screens.
A NEW FULL ADDER CELL FOR MOLECULAR ELECTRONICSVLSICS Design
Due to high power consumption and difficulties with minimizing the CMOS transistor size, molecular electronics has been introduced as an emerging technology. Further, there have been noticeable advances in fabrication of molecular wires and switches and also molecular diodes can be used for designing different logic circuits. Considering this novel technology, we use molecules as the active components of the circuit, for transporting electric charge. In this paper, a full adder cell based on molecular electronics is presented. This full adder is consisted of resonant tunneling diodes and transistors which are implemented via molecular electronics. The area occupied by this kind of full adder would be much times smaller than the conventional designs and it can be used as the building block of more complex molecular arithmetic circuits.
Artificial Neural Network for Solar Photovoltaic System Modeling and Simulationijtsrd
This paper presented neural network based maximum power point tracking on the design of photovoltaic power input to a DC DC boot converter to the load. Simulink model of photovoltaic array tested the neural network with different temperature and irradiance for maximum power point of a photovoltaic system. DC DC boot converter is used in load when an average output voltage is stable required which can be lower than the input voltage. At the end, the different temperature and irradiance of the data collected from the photovoltaic array system is used to train the neutral network and output efficiency of the designed DC DC boot converter with MPPT control strategy is accepted the maximum power amount to show the result voltage, current and power output for each different have been presented. And also demonstrated that the neural network based MPPT tracking require less time and more accurate results than the other algorithm based MPPT. Myint Thuzar | Cho Hnin Moh Moh Aung "Artificial Neural Network for Solar Photovoltaic System Modeling and Simulation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27867.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/27867/artificial-neural-network-for-solar-photovoltaic-system-modeling-and-simulation/myint-thuzar
2x2 Wi-Fi Circularly Polarized Microstrip Patch ArraySteafán Sherlock
This document describes the design and simulation of a circularly polarized microstrip antenna array by Steafán Sherlock for his Bachelor of Engineering degree. It includes chapters on microstrip antennas, antenna parameters, the design of a single patch antenna and a 2x2 array, and results from simulating and measuring the array's performance. The antenna was designed to operate at 2.4GHz for Wi-Fi applications and incorporate circular polarization to overcome issues from device orientation. Simulation and measurement results showed the antenna array had high gain, directivity, and circular polarization as required.
The document provides a summary of skills and experience for an electrical engineering job applicant. It lists their expertise in areas such as power electronics, electric machines, DSP coding, and control systems. It also outlines their technical skills with various software programs and languages. Their education includes a master's degree from Northeastern University and undergraduate degree from Bangladesh University of Engineering & Technology. For experience, they have worked on research projects related to power converters and inverters. They have also held teaching assistant and lecturer roles. The document includes details of graduate design projects and publications.
This document presents a new technique for high voltage power transmission using a beam of conductors. It describes developing a mathematical model and numerical simulation to analyze the complex dynamics when such a beam is subjected to electromagnetic forces during a short circuit. These can cause the sub-conductors in the beam to choke and impact each other. The summary develops a finite element model incorporating the electrical connections between sub-conductors and nonlinear contact mechanics during impacts. Software is developed using this model to simulate beam structures and validate results against experimental data.
1) The document discusses the topic-structure of an atom and summarizes the key discoveries that led to modern atomic theory, including the discovery of the electron, proton, neutron, and development of atomic models.
2) It describes Michael Faraday's experiments in the 1830s that provided early insights into atomic structure and the discovery of the electron in the 1850s from cathode ray experiments.
3) The document also summarizes Bohr's 1913 model of the hydrogen atom which explained its spectral lines by postulating stable electron orbits, and the development of quantum mechanics and Schrodinger's equation to more fully describe atomic structure.
This Presentation was prepared to help the readers to get the basic ideas for learning about the concepts of Quantum Numbers in Elementary Partcles ...
This document discusses quantum numbers and their role in describing the size, shape, and orientation of atomic orbitals. It explains that there are four quantum numbers - principal, angular, magnetic, and spin. The principal quantum number determines the electron shell or energy level, while the angular and magnetic quantum numbers further specify the subshell and orbital within that subshell. The spin quantum number refers to the spin of the electron. Factors that influence ionization energy such as atomic radius, nuclear charge, and electron shielding are also summarized.
The document discusses quantum numbers which describe the properties of an electron in an atom. There are three main quantum numbers - the principal quantum number n, which indicates the main energy level; the azimuthal quantum number l, which defines the orbital shape; and the magnetic quantum number ml, which describes the orientation of the orbital. Together these quantum numbers uniquely specify each atomic orbital an electron can occupy. The document provides examples of the quantum numbers for different atomic orbitals and energy levels.
Quantum mechanics is a branch of physics that deals with phenomena at microscopic scales, describing the wavelike and particle-like behavior of energy and matter. Erwin Schrödinger developed the wave equation and Schrödinger equation, which provide a mathematical description of quantum systems. Werner Heisenberg, Max Born, and Pascual Jordan created an equivalent formulation of quantum mechanics called matrix mechanics, which is the basis of Dirac's bra-ket notation for the wave function.
Particle in a box- Application of Schrodinger wave equationRawat DA Greatt
The document summarizes key concepts from quantum chemistry, including:
1) It introduces the historical development of quantum mechanics from classical mechanics and discusses how quantum theory was needed to describe atomic and subatomic phenomena.
2) It then summarizes the particle-like and wave-like properties of light and matter and introduces the Schrodinger equation.
3) The document concludes by presenting the particle-in-a-box model and explaining how solving the Schrodinger equation for this system shows that a particle's energy is quantized into discrete energy levels when confined in a box.
Quantum mechanics is a new way of understanding the atomic world based on quanta or packets of energy. Light can behave as both a particle and a wave, with photons as quanta of light energy. The photoelectric effect and emission line spectra provided evidence that light behaves as quanta that can be absorbed or emitted in specific amounts of energy. Bohr's model of the hydrogen atom explained transitions between discrete energy levels by quantization of angular momentum and energy.
This paper discusses the principle of operation, dynamic modeling, and control design for light-to-light
(LtL) systems, whose aim is to directly convert the sun irradiation into artificial light. The system discussed in
this paper is composed by a photo- voltaic (PV) panel, an LED array, a dc–dc converter dedicated to the
maximum power point tracking of the PV panel and a dc–dc converter dedicated to drive the LEDs array. A
system controller is also included, whose goal is to ensure the matching between the maximum available PV
power and the LED power by means of a low-frequency LEDs dimming. An experimental design example is
discussed to illustrate the functionalities of the LtL system.
The document summarizes a presentation given at the IVth International Conference on Advances in Energy Research held in Mumbai, India from December 10-12, 2013. The presentation was titled "Power Output Maximization of Partially Shaded 4*4 PV field by Altering its Topology" and was authored by Smita Pareek and Dr. Ratna Dahiya from NIT Kurukshetra. The presentation discussed modeling photovoltaic modules and arrays, different interconnection schemes for arrays, simulating the schemes under partial shading conditions, and analyzing the results to determine the scheme that maximizes output power under the shading patterns studied.
The document discusses the differences between LEDs and laser diodes (ILDs) as optical sources for fiber optic communication systems. It outlines several parameters for comparing LEDs and ILDs, such as power, linearity, thermal considerations, response, and spectral width. ILDs are generally more powerful, have faster response, and narrower spectral width than LEDs. However, LEDs are easier to operate. The document then focuses on drive circuitry for modulating the optical sources, describing various circuit configurations for analog, digital, and high-speed transmission. Proper drive circuits are needed to maintain output power and compensate for non-linearities of the sources.
This master's dissertation analyzes electricity consumption at home through a K-means clustering algorithm using a silhouette score perspective. The dissertation contains two papers. Paper 1 analyzes a full home electricity usage dataset through K-means clustering to obtain optimal data points, evaluating cluster numbers using indices like Davis-Boulden and silhouette score. Paper 2 reduces the dataset to 1/8 size and finds similar results for silhouette score, showing the approach works on smaller datasets. The dissertation applies machine learning clustering techniques to optimize home electricity usage, costs, and predict factors driving overcharges.
This master's dissertation analyzes electricity consumption at home through K-means clustering and compares results using different dataset sizes and evaluation metrics. The dissertation contains two papers: the first analyzes a full home electricity usage dataset using K-means clustering and evaluates optimal cluster numbers with Calinski-Harabasz Index, Davis-Boulden Index, and silhouette score. The second analyzes a reduced 1/8 size dataset with K-means clustering and finds similar optimal cluster numbers based on silhouette score, demonstrating machine learning can produce consistent results even with smaller datasets. The dissertation applies machine learning algorithms to optimize home electricity usage and costs.
This master's dissertation analyzes electricity consumption at home through a K-means clustering algorithm using a silhouette score perspective. The dissertation contains two papers. Paper 1 uses K-means clustering on a full home electricity usage dataset to obtain optimal clusters, evaluated using Calinski-Harabasz Index, Davis-Boulden Index and silhouette score. Paper 2 reduces the dataset to 1/8 size and finds that the silhouette score results are similar, showing the approach is effective even on smaller datasets. The dissertation applies machine learning clustering techniques to optimize home electricity usage and costs.
AN IMPROVED ROUTING PROTOCOL SCHEME IN ADHOC NETWORKSIAEME Publication
Nowadays, with the rapid development of science and technology and the ever-increasing demand in every field, wireless sensor networks are emerging as a necessary scientific achievement to meet the demand of human in modern society. The wireless sensor network (WSN) is designed to help us not lose too much energy, workforce, avoid danger and they bring high efficiency to work. Various routing protocols are being used to increase the energy efficiency of the network, with two distinct types of protocols, homogenous and heterogeneous. In these two protocols, the SEP (Stable Election Protocol) is one of the most effective heterogeneous protocols which increase the stability of the network. In this paper, we propose an approaching the εFCM algorithm in clustering the SEP protocol which makes the WSN network more energy efficient. The simulation results showed that the SEP-εFCM proposed protocol performed better than the conventional SEP protocol
This paper describes the design of a low power RF to DC generator for energy harvesting applications. A 2x2 microstrip rectangular patch antenna array was designed to capture RF energy at 2.4GHz. A two-stage voltage doubler circuit with matching was also designed using Schottky diodes to convert the captured RF energy to a DC voltage. Simulation results showed the antenna array achieved a gain of 11.58dB and the voltage doubler produced a DC output voltage of 0.747V at -10dBm input power when loaded with 20kOhms. The system aims to harvest directed RF energy for powering wireless sensor nodes.
RF Energy Harvesting for Wireless DevicesIJERD Editor
Radio Frequency (RF) energy transfer and harvesting techniques have recently become alternative methods to empower the next generation wireless networks. As this emerging technology enables proactive energy replenishment of wireless devices, it is advantageous in supporting applications with quality of service requirements. In this paper, some wireless power transfer methods, RF energy harvesting networks, various receiver architectures and existing applications are presented. Finally, some open research directions are envisioned.
The document provides a review of persistence of vision (POV) displays. It discusses how POV displays use the phenomenon of the human eye retaining images to create the illusion of motion from individual LEDs spinning at a high frequency. The summary discusses key components of the POV display like the Raspberry Pi, RGB LEDs, motors, and touch interface. It also outlines several applications for POV displays in education, gaming, and as an interactive display. The review concludes the POV display provides an improved viewing experience and new ways of interacting with displays compared to traditional screens.
A NEW FULL ADDER CELL FOR MOLECULAR ELECTRONICSVLSICS Design
Due to high power consumption and difficulties with minimizing the CMOS transistor size, molecular electronics has been introduced as an emerging technology. Further, there have been noticeable advances in fabrication of molecular wires and switches and also molecular diodes can be used for designing different logic circuits. Considering this novel technology, we use molecules as the active components of the circuit, for transporting electric charge. In this paper, a full adder cell based on molecular electronics is presented. This full adder is consisted of resonant tunneling diodes and transistors which are implemented via molecular electronics. The area occupied by this kind of full adder would be much times smaller than the conventional designs and it can be used as the building block of more complex molecular arithmetic circuits.
Artificial Neural Network for Solar Photovoltaic System Modeling and Simulationijtsrd
This paper presented neural network based maximum power point tracking on the design of photovoltaic power input to a DC DC boot converter to the load. Simulink model of photovoltaic array tested the neural network with different temperature and irradiance for maximum power point of a photovoltaic system. DC DC boot converter is used in load when an average output voltage is stable required which can be lower than the input voltage. At the end, the different temperature and irradiance of the data collected from the photovoltaic array system is used to train the neutral network and output efficiency of the designed DC DC boot converter with MPPT control strategy is accepted the maximum power amount to show the result voltage, current and power output for each different have been presented. And also demonstrated that the neural network based MPPT tracking require less time and more accurate results than the other algorithm based MPPT. Myint Thuzar | Cho Hnin Moh Moh Aung "Artificial Neural Network for Solar Photovoltaic System Modeling and Simulation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27867.pdfPaper URL: https://www.ijtsrd.com/engineering/electrical-engineering/27867/artificial-neural-network-for-solar-photovoltaic-system-modeling-and-simulation/myint-thuzar
2x2 Wi-Fi Circularly Polarized Microstrip Patch ArraySteafán Sherlock
This document describes the design and simulation of a circularly polarized microstrip antenna array by Steafán Sherlock for his Bachelor of Engineering degree. It includes chapters on microstrip antennas, antenna parameters, the design of a single patch antenna and a 2x2 array, and results from simulating and measuring the array's performance. The antenna was designed to operate at 2.4GHz for Wi-Fi applications and incorporate circular polarization to overcome issues from device orientation. Simulation and measurement results showed the antenna array had high gain, directivity, and circular polarization as required.
The document provides a summary of skills and experience for an electrical engineering job applicant. It lists their expertise in areas such as power electronics, electric machines, DSP coding, and control systems. It also outlines their technical skills with various software programs and languages. Their education includes a master's degree from Northeastern University and undergraduate degree from Bangladesh University of Engineering & Technology. For experience, they have worked on research projects related to power converters and inverters. They have also held teaching assistant and lecturer roles. The document includes details of graduate design projects and publications.
This document presents a new technique for high voltage power transmission using a beam of conductors. It describes developing a mathematical model and numerical simulation to analyze the complex dynamics when such a beam is subjected to electromagnetic forces during a short circuit. These can cause the sub-conductors in the beam to choke and impact each other. The summary develops a finite element model incorporating the electrical connections between sub-conductors and nonlinear contact mechanics during impacts. Software is developed using this model to simulate beam structures and validate results against experimental data.
1) The document discusses the topic-structure of an atom and summarizes the key discoveries that led to modern atomic theory, including the discovery of the electron, proton, neutron, and development of atomic models.
2) It describes Michael Faraday's experiments in the 1830s that provided early insights into atomic structure and the discovery of the electron in the 1850s from cathode ray experiments.
3) The document also summarizes Bohr's 1913 model of the hydrogen atom which explained its spectral lines by postulating stable electron orbits, and the development of quantum mechanics and Schrodinger's equation to more fully describe atomic structure.
This Presentation was prepared to help the readers to get the basic ideas for learning about the concepts of Quantum Numbers in Elementary Partcles ...
This document discusses quantum numbers and their role in describing the size, shape, and orientation of atomic orbitals. It explains that there are four quantum numbers - principal, angular, magnetic, and spin. The principal quantum number determines the electron shell or energy level, while the angular and magnetic quantum numbers further specify the subshell and orbital within that subshell. The spin quantum number refers to the spin of the electron. Factors that influence ionization energy such as atomic radius, nuclear charge, and electron shielding are also summarized.
The document discusses quantum numbers which describe the properties of an electron in an atom. There are three main quantum numbers - the principal quantum number n, which indicates the main energy level; the azimuthal quantum number l, which defines the orbital shape; and the magnetic quantum number ml, which describes the orientation of the orbital. Together these quantum numbers uniquely specify each atomic orbital an electron can occupy. The document provides examples of the quantum numbers for different atomic orbitals and energy levels.
Quantum mechanics is a branch of physics that deals with phenomena at microscopic scales, describing the wavelike and particle-like behavior of energy and matter. Erwin Schrödinger developed the wave equation and Schrödinger equation, which provide a mathematical description of quantum systems. Werner Heisenberg, Max Born, and Pascual Jordan created an equivalent formulation of quantum mechanics called matrix mechanics, which is the basis of Dirac's bra-ket notation for the wave function.
Particle in a box- Application of Schrodinger wave equationRawat DA Greatt
The document summarizes key concepts from quantum chemistry, including:
1) It introduces the historical development of quantum mechanics from classical mechanics and discusses how quantum theory was needed to describe atomic and subatomic phenomena.
2) It then summarizes the particle-like and wave-like properties of light and matter and introduces the Schrodinger equation.
3) The document concludes by presenting the particle-in-a-box model and explaining how solving the Schrodinger equation for this system shows that a particle's energy is quantized into discrete energy levels when confined in a box.
Quantum mechanics is a new way of understanding the atomic world based on quanta or packets of energy. Light can behave as both a particle and a wave, with photons as quanta of light energy. The photoelectric effect and emission line spectra provided evidence that light behaves as quanta that can be absorbed or emitted in specific amounts of energy. Bohr's model of the hydrogen atom explained transitions between discrete energy levels by quantization of angular momentum and energy.
Quantum theory provides a framework to understand phenomena at the atomic scale that cannot be explained by classical physics. It proposes that energy is emitted and absorbed in discrete units called quanta. This explains observations like the photoelectric effect where electrons are only ejected above a threshold frequency. Light behaves as both a wave and particle - a photon. Similarly, matter exhibits wave-particle duality as demonstrated by electron diffraction. At the quantum level, only probabilities, not definite values, can be predicted. Quantum mechanics is applied to describe atomic structure and spectra.
1. The document describes an experiment to study the characteristics of LEDs, the relationship between LED voltage and current, and the wavelength of emitted light.
2. The objectives are to study LED characteristics, determine the relationship between LED voltage and current, and identify the wavelength of emitted light.
3. The experiment involves using LEDs of different colors (red, green, yellow) in a circuit with a variable power supply and resistors to observe the LED behavior and measure voltage, current, and wavelength.
This document provides an introduction to transparent electronics. It discusses how transparent electronics allows for invisible electronic circuitry and devices with applications in consumer electronics, energy, and transportation. The basic device structure is similar to conventional electronics, but the materials must be transparent in the visible spectrum. The goals of transparent electronics are to discover and implement transparent electronic materials, incorporate these materials into transistor and circuit designs, and achieve application-specific performance requirements. Realizing this technology requires expertise from various fields including materials science, chemistry, physics, and engineering. In the past decade, the available materials for transparent electronics have expanded beyond transparent conducting oxides to include other conducting, dielectric, and semiconducting materials needed for full device fabrication.
Electrical Engineering, Basics of Electrical Engineering for Electrical Engineers. You can read it to become an excellent Electrical Engineer.
So as to become an Engineer, read day and night. Try to proof your theoretical knowledge.
Soure: It is indicated on the Cover page of the document.
Physics investigotory project class 12th by nohar tandonNohar Tandon
This document is a student project on light emitting diodes (LEDs) submitted to fulfill a school assignment. It includes an introduction to LEDs, their types, working principles, characteristics, structures, advantages, disadvantages, and applications. The student expresses gratitude to their teacher and principal for providing guidance and the opportunity to do the project. Certification is provided that the student completed the project according to the syllabus.
Wireless audio transmitter for tv(full report)Pawan Gupta
This document is a project report submitted by three students - Mr. Abhishek Sharma, Mr. Danish Khan, and Mr. Pawan Gupta - for their Electronics and Telecommunication Engineering department. The project is about designing a wireless audio transmitter for a TV. It includes certificates of completion, acknowledgements, an abstract describing the use of FM transmission to allow wireless headphone listening of TV without disturbing others, and outlines several chapters covering the hardware requirements, schematic diagram, layout diagram, testing, and future scope.
An optical transmitter converts an electrical input signal into an optical signal using an optical source such as a light emitting diode (LED) or laser diode. LEDs are better suited for optical communication systems with bit rates under 100-200 Mb/s and optical powers in the tens of micro watts range. A key component of LEDs is a double heterostructure which confines both holes and electrons to a narrow active layer, improving recombination efficiency. Edge emitting LEDs have a more directional emission pattern than surface emitting LEDs, providing better coupling efficiency into an optical fiber.
my micro project of Elements of Electrical (22215) (1).pdfBhaveshNehare
my micro project of Elements of Electrical (22215) (1).pdf
Title.
Explain pure inductive and capacitive circuit.
Join my telegram channel.
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You tube channel.
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This document is a thesis that discusses the design and implementation of a solar charge controller IC using Cadence. It contains 6 chapters that cover an introduction, overview of solar photovoltaics, overview of solar charge controllers, challenges of implementing a solar charge controller in Cadence, Cadence implementation, and conclusions. The objective is to replace microcontrollers in commercial solar charge controllers with an analog design using transistors and MOSFETs implemented on a single IC in Cadence to reduce costs and space. The design is simulated in Proteus initially and then implemented in Cadence Virtuoso for schematic and layout design.
This document discusses the effects of photoanode thickness on the performance of dye-sensitized solar cells (DSSC) simulated using an equivalent circuit model. Three DSSCs were fabricated with TiO2 absorption layer thicknesses of 6 μm, 12 μm, and 18 μm. Their current-voltage characteristics were measured and fitted to an equivalent circuit model. The model shows that both the series resistance (Rs) and shunt resistance (Rsh) increase with thicker absorption layers. It also shows that increasing Rs decreases the fill factor, while cell efficiency decreases as the material thickness increases due to increased resistance.
This document is a report submitted by Brisa Ghimire on a project about wireless power transmission. It includes sections on the objective of investigating wireless power transfer technology, an abstract describing inductive power transfer principles, requirements for building a demonstration device, the theoretical concepts of electromagnetic induction, how a prototype device works, experimental observations of powering an LED, conclusions about the potential for wireless charging applications, and a bibliography of references consulted.
This document outlines the design of a system to wirelessly charge mobile phones using microwaves. It describes a transmitter that uses a magnetron to transmit microwaves along with voice signals. Mobile phones would be outfitted with a rectenna and sensor circuitry. The rectenna uses a Schottky diode to convert received microwaves into DC power for charging. This design could allow mobile phones to charge during calls without needing a separate charger. Potential advantages include universal charging compatibility and no standalone chargers needed. Disadvantages include the transmitter and receiver requiring high power and potential health effects from microwave radiation.
The document is a physics investigatory project on light emitting diodes (LEDs) submitted by a 12th grade student. It includes an introduction to LEDs, their types, working mechanism, I-V characteristics, multi-colored LED structures, advantages, disadvantages and applications. The project contains contents, acknowledgments and bibliography sections and aims to increase the student's knowledge through research on LEDs according to their school curriculum.
The document provides an overview of the Network Theory syllabus for the 2020-21 academic year. It discusses the course details including credits, contact hours, assessments, pre-requisites and outcomes. The syllabus covers topics such as basic circuit concepts, network theorems, resonant circuits, transient behavior, Laplace transforms, and two-port networks. It also introduces some basic concepts of network theory including different electrical elements, circuit analysis techniques, and passive elements like resistors, capacitors, and inductors.
This document is a seminar report on organic light-emitting diode (OLED) displays submitted by Vishnu S.S. to the Department of Electronics and Communication at Government Polytechnic College in Neyyattinkara, India in 2017. The report provides an introduction to OLEDs, discusses their history and components. It also describes the fabrication process and methods of OLEDs and examines their working principle, types, advantages and applications. The report aims to inform readers about OLED displays and their potential as an emerging display technology.
The principles of physics, as far as I can see, do not speak
against the possibility of maneuvering things atom by atom.”
“Put the atoms down where the chemist says, and so you make
the substance.”
This document summarizes Daniel Melendy's master's thesis on modelling on-chip spiral inductors for silicon RFICs. The thesis addresses the need for scalable and predictive models of spiral inductors on lossy silicon substrates. It develops an enhanced Partial Element Equivalent Circuit (PEEC) method that includes the major non-ideal effects such as conductor and substrate losses. It also presents a new wide-band compact equivalent circuit model using "transformer-loops" to model substrate losses. Results comparing the models to measurements of octagonal spiral inductors on high-loss and low-loss silicon substrates show good agreement. The combination of an accurate scalable model and a wide-band compact model provides a complete modelling methodology for spiral
This document describes a hybrid Single Electron Transistor (SET) - Complementary Metal-Oxide-Semiconductor (CMOS) based 4-bit parallel adder/subtractor circuit designed to operate at room temperature with low power consumption. The circuit was simulated using the MIB model for SET operation and BSIM4.6.1 for PMOS operation. Simulation results showed the hybrid circuit provides a noticeable reduction in average power consumption and power-delay product compared to a conventional CMOS-based design. This demonstrates the potential of hybrid SET-CMOS technology for future low-power, high-density integrated circuits.
Wireless Mobile Charging Using MicrowavesJishid Km
It is a hectic task to carry everywhere the charger of mobile phones or any electronic gadget while travelling, or it is very cruel when your mobile phone getting off by the time you urgently need it. It is the major problem in today’s electronic gadgets. Though the world is leading with the developments in technology, but this technology is still incomplete because of these limitations. Today’s world requires the complete technology and for this purpose here we are proposing the wireless charging of batteries using Microwaves.
Now in the recent days we come across some solutions for this problem by using the Witricity (Wireless Transmission of Electricity). Recently Nokia has launched Nokia Lumia 920 smart phones whose special feature is its wireless charging. But this is possible only when the device is placed on to the plate given for the wireless charging. So it is also somewhat difficult to travel with those charging plates. There may chance has forgetting the charging plates, and then we require something which can charge our electronic gadgets whenever they get used
The proposed method gives the solution for this problem. Once think that how it will be when your electronic gadget gets charged on using it? Then the label will come as “CHARGE ON USE”. This wireless charging method works on the principle of MICROWAVE OVEN. As the things when placed in microwave oven gets heated, in the same way these batteries should work using microwaves which are the medium of communication from long back. We are getting our network in terms of microwaves and it is proved that the total radiation coming from the cellular mobile communication is not been using and the remaining radiation is creating hazardous problem for human beings. So here we are working on the concept that why can’t we use those remaining radiations in order to charge our batteries? This will be the best solution to reduce the effect of radiation.
Memristor is considered as the 4th fundamental circuit element envisioned by famous circuit theorist Leon Chua in 1971.
This mysterious element is the missing link between electric charge and magnetic flux. The device has the peculiar property to remember the history of its past event when the supply is turned off.
1. Project report
On
QUANTUM MECHANICAL STUDY OF DOUBLE
HETEROSTRUCTURE LED
This project report is submitted
towards partial fulfillment of the requirement for the award of degree of
“B.E. Electronics and Communication”
Submitted by
Kalyani Yeotikar Shikha Paliwal
Urvashi Dhoot Vipul Hada
Under guidance of
Dr. Rajesh Raut
Co guide
Dr. D.K. Bopardikar
Electronics and Communication Department
Shri Ramdeobaba College of Engineering and Management
Nagpur-440013
(An Autonomous College of Rashtrasant Tukadoji Maharaj Nagpur University)
2014-2015
2. CERTIFICATE
Shri Ramdeobaba College of Engineering and Management, Nagpur
This is to certify that project titled
“QUANTUM MECHANICAL STUDY OF
DOUBLE HETEROSTRUCTURE LED”
has been successfully completed by following students in recognition of
partial fulfillment for Final Year B.E. E&C Engineering
Shri Ramdeobaba College of Engineering and Management
Nagpur (2014-2015)
Submitted by
Kalyani Yeotikar Shikha Paliwal
Urvashi Dhoot Vipul Hada
Dr. Rajesh Raut Dr. D.K. Bopardikar
Associate Professor Professor
Department of E&C Department of Physics
(Guide) (Co-guide)
Dr. S.B. Pokle
(HOD, E&C Department)
Dr. R.S. Pande
(Principal, RCOEM)
3. ANKNOWLEGEMENTS
Success is manifestation of perseverance inspiration and motivation.
We, the projectees take this opportunity to express our profound
gratitude and deep regards to our guide Dr. Rajesh Raut for his
exemplary guidance, monitoring and constant encouragement
throughout the course of this thesis. The blessing, help and guidance
given by him time to time shall carry us a long way in the journey of
life on which we are about to embark.
We would like to express our sincere thanks to our co guide
Dr.D.K. Bopardikar. He has guided and supported us in all our
endeavours. We are deeply indebted to him for giving us clarity of
vision and thought which enabled us to complete this project.
In our journey we have always been guided and supported by our
respected Head of Department Dr.S.B. Pokle. He has always instilled
confidence in us and has inculcated many skills in us which we will
carry with us all our lives.
We would like to thank our principal Dr.R.S. Pande and all the staff of
the Electronics and Communication department for extending us the
facilities without which our project would not have been a success.
Submitted by
Kalyani Yeotikar Shikha Paliwal
Urvashi Dhoot Vipul Hada
5. Chapter 1
Quantum Mechanical Study of
Double Heterostructure LED
1.1 Introduction
The engineering students generally study light emitting diodes (LED) as an ele-
ment in an electronic circuit. The light emitting diodes are generally used as a
basic unit of a big optical display or as a source in optical communication. In fact
the fiber optic communication forms the basis of the current technology which
has revolutionized the telecommunication industry. It has enabled telecommuni-
cations links to be made over much greater distances and with much lower level
of loss in its medium besides high rate of data transmission.
The present project work is aimed at study of LED from entirely different point
of view. In the present work an attempt has been made to study LED from the
point of view of semiconductor physics. A LED is essentially a p-n junction diode
typically made from direct bandgap semiconductor, for example GaAs in which
the electron hole pair recombination results in the emission of photon. The emitted
energy photon is therefor approximately equal to the bandgap energy h=Eg. In its
simpest form the semiconductor material used on either side of a p-n junction, has
same bandwidth(Eg), and hence termed as homojunction LED.
The homojunction LED suffers from certain drawbacks. The radiationless
recombination of electron and re-absorption of photon due to long electron dif-
fusion length causes substantial reduction in the intensity of the output radiation.
These drawbacks have been taken care in the double heterostructure(DH) device
based on two junctions between different semiconductor materials with different
bandgap. In this case the semiconductors are AlGaAs with Eg = 1.4eV. The het-
erostructure is shown in figure 1.
In a forward bias conditions electrons are injected in narrow confined region
2
6. 1.1. INTRODUCTION
Figure 1.1: Double heterostructure LED
of GaAs of 0.2 micro m. These electrons suffer recombination the holes in central
p-region of GaAs to produce a photons. The wavelength of the output radiation
obviously depend on the energy levels of electron and holes in the confined region
of GaAs. In the present work this confined region has been modelled as Quantum
well as shown in figure 2.
Figure 1.2: (a) The energy band structure of an intrinsic semiconductor at an
temperature above absolute zero. (b) The Fermi Dirac Probability Distribution
corresponding to (a)
The attempt has been made in the present project to calculate energy levels
in central confined region of the quantum well. This has been done by solving
Schrodinger equation for finite potential well.
To understand the topic we need to study the basics about the semiconduc-
tor and how we reached to our problem statement. For which further we will be
gathering information about semiconductors, LED and how we reached to het-
3
7. 1.1. INTRODUCTION
erostructure.
1.1.1 Introduction to Semiconductor
A semiconductor material has an electrical conductivity value falling between
conductor and an insulator. A semiconductor is a substance, usually a solid chem-
ical element or compound, that can conduct electricity under some conditions but
not others, making it a good medium for the control of electrical current. Further
it is subdivided into two categories:
Intrinsic Semiconductor
Extrinsic Semiconductor
1.1.2 Intrinsic and Extrinsic Semiconductor
Intrinsic Semiconductor: A perfect semiconductor containing no impurities or
lattice defects is said to be an intrinsic semiconductor. An intrinsic semiconductor
in which the valence and conduction bands separated by a forbidden energy gap or
bandgap ’Eg’. In the semiconductor at a temperature above absolute zero where
thermal excitation raises some electrons from the valence band into the conduc-
tion band, leaving empty hole states in the valence band. These excited electrons
in the conduction band and the holes left in the valence band allow conduction
through the material, called as carriers. For a semiconductor in thermal equilib-
rium the energy-level occupation is described by the FermiDirac distribution func-
tion. Consequently, the probability P(E) that an electron gains sufficient thermal
energy at an absolute temperature T, such that it will be found occupying a partic-
ular energy level E, is given by the FermiDirac distribution: P(E)= 1
1+exp(E−Ef )KT
The energy band structure of an intrinsic semiconductor is shown in figure
3. The Fermi level gives an indication of the distribution of carriers within the
material. For the intrinsic semiconductor where the Fermi level is at the center
of the bandgap, indicating that there is a small probability of electrons occupying
energy levels at the bottom of the conduction band and a corresponding number
of holes occupying energy levels at the top of the valence band.
Extrinsic Semiconductor: To create an extrinsic semiconductor, the material is
doped with impurity atoms which create either more free electrons (donor impu-
rity) or holes (acceptor impurity). These two situations where the donor impurities
form energy levels just below the conduction band while acceptor impurities form
energy levels just above the valence band.
When donor impurities are added, the excited electrons from the donor levels
are moved into the conduction band to create an excess of negative charge carri-
4
8. 1.1. INTRODUCTION
Figure 1.3: (a) The energy band structure of an intrinsic semiconductor at an
temperature above absolute zero. (b) The Fermi Dirac Probability Distribution
corresponding to (a)
Figure 1.4: Energy band diagrams: (a) n-type semiconductor; (b) p-type semicon-
ductor
ers and the semiconductor is said to be n-type, with the majority carriers being
electrons. The Fermi level is above the center of the bandgap. When acceptor
impurities are added, the excited electrons goes from the valence band to the ac-
ceptor impurity levels leaving an excess of positive charge carriers in the valence
band and creating a p-type semiconductor where the majority carriers are holes.
In this case Fermi level is lowered below the center of the bandgap.
P-N Junction Diode: The pn junction diode is formed by joining p-type and
n-type semiconductor layers. A thin depletion region or layer is formed at the
junction through carrier recombination. This establishes a potential barrier be-
tween the p-type and n-type regions which restricts diffusion of majority carriers
from their respective regions. In the absence of an externally applied voltage no
current flows as the potential barrier prevents the flow of carriers from one region
to another. When the junction is in this equilibrium state the Fermi level for the
5
9. 1.1. INTRODUCTION
p- and n-type semiconductor is the same.
Figure 1.5: (a) The impurities and charge carriers at a pn junction. (b) The energy
band diagram corresponding to (a)
The width of the depletion region and thus the magnitude of the potential
barrier is dependent upon the doping in the p-type and n-type regions and any
external applied voltage. When an external positive voltage is applied to the p-type
region, the depletion region width and the resulting potential barrier are reduced
and the diode is said to be forward biased. Electrons from the n-type region and
holes from the p-type region can flow across the junction into the opposite type
region. By the application of the external voltage, these minority carriers are
injected across the junction and form a current flow through the device. However,
this situation in suitable semiconductor materials allows carrier recombination
with the emission of light.
1.1.3 Semiconductor Materials:
The semiconductor material need to possess-
1. pn junction formation. The materials must lend themselves to the formation
of pn junctions with suitable characteristics for carrier injection. 2. Efficient elec-
troluminescence. The devices fabricated must have a high probability of radiative
transitions and therefore a high internal quantum efficiency. Hence the materials
6
10. 1.1. INTRODUCTION
utilized must be either direct bandgap semiconductors or indirect bandgap semi-
conductors with appropriate impurity centers. 3. Useful emission wavelength.
The materials must emit light at a suitable wavelength to be utilized with current
optical fibers and detectors 0.8 to 1.7 um. Ideally, they should allow bandgap vari-
ation with appropriate doping and fabrication in order that emission at a desired
specific wavelength may be achieved.
The electroluminescent materials for LEDs in the early 1960s centered around
the direct bandgap IIIV alloy semiconductors including the gallium arsenide (GaAs)
and gallium phosphide (GaP) and the ternary gallium arsenide phosphide (GaAsxP1−x).
Gallium arsenide gives efficient electroluminescence over an appropriate wave-
length band (0.88 to 0.91 um). It was quickly realized that improved devices
could be fabricated with heterojunction structures which through carrier and radia-
tion confinement would give enhanced light output. These heterostructure devices
were first fabricated using liquid-phase epitaxy (LPE) to produce GaAs/AlxGa1−xAs
single heterojunction lasers. This process involves the precipitation of material
from a cooling solution onto an underlying substrate. When the substrate con-
sists of a single crystal and the lattice constant or parameter of the precipitating
material is the same or very similar to that of the substrate (i.e. the unit cells
within the two crystalline structures are of a similar dimension), the precipitat-
ing material forms an epitaxial layer on the substrate surface. Subsequently,
the same technique was used to produce double heterojunctions consisting of
AlxGa1−xAs/GaAs/AlxGa1−xAs epitaxial layers, which gave continuous wave op-
eration at room temperature. Some of the common material systems now utilized
for DH device fabrication, together with their useful wavelength ranges, are shown
in Table:
Active Layer/Confinement Layer Wavelength Range(um) Substrate
GaAs/AlxGa1−xAs 0.8-0.9 GaAs
GaAs/InxGa1−xP 0.9 GaAs
AlyGa1−yAs/AlxGa1−xAs 0.65-0.9 GaAs
InyGa1−yAs/InxGa1−xP 0.85-1.1 GaAs
Ga1−yAlyAs1−xSbx 0.9-1.1 GaAs
Ga1−yAlyAs1−xSbx 1.0-1.7 GaSb
In1−xGaxAsyP1−y 0.92-1.7 InP
InxGa1−xAs 1.3 InGaAs
In1−xGaNyAs1−y 1.3-1.55 GaAs
In1−xGaxN1−yAsySb 1.31 GaAs
Table 1.1: Some common material systems used in the fabrication of electro-
luminescent sources
The GaAs/AlGaAs Double Heterojuntion system is the best developed and is
used for fabricating LEDs for the shorter wavelength region. There is very little
7
11. 1.1. INTRODUCTION
lattice mismatch (0.017layer and the GaAs substrate which gives good internal
quantum efficiency.
1.1.4 Why Direct Bandgap and Why Not Indirect Bandgap Semi-
conductors !?
To get proper electroluminescence, it is must to get an appropriate semiconductor
material. The best device for this purpose is the direct bandgap semiconductor in
which electrons and holes on either side of the forbidden energy gap have the same
value of crystal momentum and thus direct recombination can be obtained. It may
be observed in the figure 1.4 the energy maximum of the valence band occurs at
the same (or very nearly the same) value of electron crystal momentum as the en-
ergy minimum of the conduction band. Hence when electronhole recombination
occurs the momentum of the electron remains constant and the energy released,
which corresponds to the bandgap energy Eg, may be emitted as light. This direct
transition of an electron across the energy gap provides an efficient mechanism
for photon emission and the average time that the minority carrier remains in a
free state before recombination is short (108 to 10−10 s).
Semiconductor Material Energy Bandgap (eV)
GaAs Direct: 1.43
CaSb Direct: 0.73
InAs Direct: 0.35
InSb Direct: 0.18
Si Indirect: 1.12
Ge Indirect: 0.67
GaP Indirect: 2.26
Table 1.2 Some direct and indirect bandgap semiconductors with calculated
recombination coefficients
In indirect bandgap semiconductors, however, the maximum and minimum
energies occur at different value of crystal momentum. For electronhole recombi-
nation to take place it is necessary that the electron loses momentum such that it
has a value of momentum corresponding to the maximum energy of the valence
band. The conservation of momentum requires the emission or absorption of a
third particle, a phonon. The Figure 6 illustrates the carrier recombination giving
spontaneous emission of light in a pn junction diode.
This three-particle recombination process is far less probable than the two-
particle process exhibited by direct bandgap semiconductors. Hence, the recombi-
nation in indirect bandgap semiconductors is relatively slow (10−2 to 104 s). This
is reflected by a much longer minority carrier lifetime, together with a greater
probability of nonradiative transitions. The competing nonradiative recombina-
8
12. 1.1. INTRODUCTION
Figure 1.6: Energymomentum diagrams showing the types of transition: (a) direct
bandgap semiconductor; (b) indirect bandgap semiconductor
tion processes which involve lattice defects and impurities become more likely as
they allow carrier recombination in a relatively short time in most materials.
Thus the indirect bandgap emitters such as silicon and germanium shown in
Table 1.2 give insignificant levels of electroluminescence. This disparity is further
illustrated in Table 1.2 by the values of the recombination coefficient Br given for
both the direct and indirect bandgap recombination semiconductors shown.
The recombination coefficient is obtained from the measured absorption coef-
ficient of the semiconductor, and for low injected minority carrier density relative
to the majority carriers it is related approximately to the radiative minority carrier
lifetime* τ r by τr = [Br(N + P)]−1 where N and P are the respective majority
carrier concentrations in the n-type and p-type regions. The significant differ-
ence between the recombination coefficients for the direct and indirect bandgap
semiconductors shown underlines the importance of the use of direct bandgap ma-
terials for electroluminescent sources. Direct bandgap semiconductor devices in
general have a much higher internal quantum efficiency. This is the ratio of the
number of radiative recombinations (photons produced within the structure) to the
number of injected carriers which is often expressed as a percentage.
9
13. 1.1. INTRODUCTION
1.1.5 Direct Band Gap Light Emitting Diode
Spontaneous Emission
The interaction of light with matter takes place in discrete packets of energy or
quanta, called photons. Furthermore, the quantum theory suggests that atoms
exist only in certain discrete energy states such that absorption and emission of
light causes them to make a transition from one discrete energy state to another.
The frequency of the absorbed or emitted radiation f is related to the difference in
energy E between the higher energy state E2 and the lower energy state E1 by the
expression:
E = E2 - E1 = hf
where h = 6.626 * 10−34 J s is Plancks constant. These discrete energy states
for the atom may be considered to correspond to electrons occurring in particular
energy levels relative to the nucleus.
Figure 1.7: Energy state diagram showing: (a) absorption; (b) spontaneous emis-
sion; The black dot indicates the state of the atom before and after a transition
takes place
Hence, different energy states for the atom correspond to different electron
10
14. 1.1. INTRODUCTION
configurations, and a single electron transition between two energy levels within
the atom will provide a change in energy suitable for the absorption or emission
of a photon. It must be noted, however, that modern quantum theory gives a
probabilistic description which specifies the energy levels in which electrons are
most likely to be found. Nevertheless, the concept of stable atomic energy states
and electron transitions between energy levels is still valid.
The given figure 7 represents a two energy state or level atomic system where
an atom is initially in the lower energy state E1. Alternatively, when the atom is
initially in the higher energy state E2 it can make a transition to the lower energy
state E1 providing the emission of a photon at a frequency corresponding to Equa-
tion given above. This emission process can occur by spontaneous emission in
which the atom returns to the lower energy state in an entirely random manner.
The random nature of the spontaneous emission process where light is emitted
by electronic transitions from a large number of atoms gives incoherent radiation.
A similar emission process in semiconductors provides the basic mechanism for
light generation within the LED
How exactly An LED Works !!
Figure 1.8: The pn junction with forward bias giving spontaneous emission of
photons
The increased concentration of minority carriers in the opposite type region
11
15. 1.1. INTRODUCTION
in the forward-biased pn diode leads to the recombination of carriers across the
bandgap. This process is shown in Figure 8 for a direct bandgap semiconductor
material where the normally empty electron states in the conduction band of the p-
type material and the normally empty hole states in the valence band of the n-type
material are populated by injected carriers which recombine across the bandgap.
The energy released by this electronhole recombination is approximately equal to
the bandgap energy Eg
Figure 1.9: An illustration of carrier recombination giving spontaneous emission
of light in a pn junction diode
Excess carrier population is therefore decreased by recombination which may
be radiative or nonradiative. In nonradiative recombination the energy released is
dissipated in the form of lattice vibrations and thus heat. However, in band-to-
band radiative recombination the energy is released with the creation of a pho-
ton with a frequency following where the energy is approximately equal to the
bandgap energy Eg and therefore:
Eg = hf = hc
λ
where c is the velocity of light in a vacuum and is the optical wavelength.
Substituting the appropriate values for h and c in Equation and rearranging gives:
λ = 1.24
Eg
where is written in m and Eg in eV.
12
16. 1.1. INTRODUCTION
1.1.6 LED Characteristics
Optical output power:
The graph of an ideal light output power vs current characteristics of an LED is
given below:
Figure 1.10: An ideal light output against current characteristic for an LED
It is linear corresponding to the linear part of the injection laser optical power
output characteristic before lasing occurs. Intrinsically the LED is a very linear
device in comparison with the majority of injection lasers and hence it tends to
be more suitable for analog transmission where severe constraints are put on the
linearity. LEDs do exhibit significant nonlinearities which depend upon the con-
figuration utilized. It is therefore often necessary to use some form of linearizing
circuit technique in order to ensure the linear performance of the device to allow
its use in high-quality analog transmission systems.
With an increase in the temperature, the internal quantum efficiency of an
LED decreases exponentially. Hence as the p-n junction increases the light emit-
ted from these devices decreases. resonant cavity LEDs have shown a similar
reduction in output power when operated at higher temperatures. When operating
at room temperature, however, RC-LEDs can provide high levels of optical output
power.
Output spectrum:
The spectral linewidth of an LED operating at room temperature in the 0.8 to
0.9 m wavelength band is usually between 25 and 40 nm at the half maximum
13
17. 1.1. INTRODUCTION
intensity points.
Figure 1.11: Output spectrum for an AlGaAs with doped active region.
The output spectra also tend to broaden at a rate of between 0.1 and 0.3 nm
with increase in temperature due to the greater energy spread in carrier distribu-
tions at higher temperatures. Increases in temperature of the junction affect the
peak emission wavelength as well, and it is shifted by +0.3 to 0.4 nm for AlGaAs
devices
Modulation bandwidth:
The modulation bandwidth of LEDs is depended on- These are:(a) the doping
level in the active layer; (b) the reduction in radiative lifetime due to the injected
carriers; (c) the parasitic capacitance of the device.
The carrier lifetime is dependent on the doping concentration, the number of
injected carriers into the active region, the surface recombination velocity and
the thickness of the active layer. All these parameters tend to be interdependent
and are adjustable within limits in present-day technology. In general, the car-
rier lifetime may be shortened by either increasing the active layer doping or by
decreasing the thickness of the active layer.
LEDs have a very thin, virtually undoped active layer and the carrier lifetime is
controlled only by the injected carrier density. At high current densities the carrier
lifetime decreases with injection level because of a bimolecular recombination
14
18. 1.1. INTRODUCTION
process This bimolecular recombination process allows edge-emitting LEDs with
narrow recombination regions to have short recombination times, and therefore
relatively high modulation capabilities at reasonable operating current densities
Reliability:
LEDs are not generally affected by the catastrophic degradation mechanisms that
is their life is not shortened by its usage. Rapid degradation in LED is due to
both the growth of dislocations and precipitate-type defects in the active region
giving rise to dark line defects (DLDs) and dark spot defects (DSDs), respectively,
under device aging. DLDs tend to be the dominant cause of rapid degradation in
GaAs-based LEDs. The growth of these defects does not depend upon substrate
orientation but on the injection current density, the temperature and the impurity
concentration in the active region.
Good GaAs substrates have dislocation densities around 5 104 cm2 . Hence,
there is less probability of dislocations in devices with small active regions.
It is clear, that with the long-term LED degradation process there is no absolute
end-of-life power level
1.1.7 Drawbacks of Homojunction LED
:
The homojunction LED has two main drawbacks- The p-region in the LED
must be narrow so as to allow the emission of photons without getting reabsorbed.
As the electrons in the valence band can absorb the emitted photon to gain the en-
ergy and jump into conduction band. To avoid the reabsorption the p-region must
be narrow. But when the p-region is narrowed, some of the injected electrons in
the p-side reach the surface by diffusion and re-combine through crystal defects
of the surface. This gives radiationless recombination of electron and hole pair
which reduces the light output. This is the major disadvantage of homojunction
LED. The another one being that if the recombination of e-h pairs takes place
over a large volume then chances of reabsorption of photons becomes higher
wherein the amount of reabsorption of photons increases with material volume.
Heterostrucutre
1.1.8 Heterojunction Structure
A junction between two differently doped semiconductors that are of the same
material is known as a homojunction. A junction between two bandgap semicon-
ductors is called as a heterojunction. A semiconductor device structure that has
junctions between two different bandgap materials is known as a heterostructure
15
19. 1.1. INTRODUCTION
device (HD). The refractive index of a semiconductor depends on its bandgap.
A wider bandgap semiconductor has lower refractive index. This means by con-
structing LEDs from heterostructures, we engineer a dielectric waveguide within
the device and hence photons out from the recombination region. LED con-
structions for increasing the intensity of the output light make use of the double
heterostructure. Figure 12 shows a double heterostructure device based on two
junctions between different semiconductor materials with different bandgaps. In
this case, semiconductors are AlGaAs with Eg=2eV and GaAs with Eg=1.4eV.
The double heterostructure has an n+p heterojunction between n+ AlGaAs and
p-GaAs. The p-GaAs is a thin layer, typically of the fraction of a micron and it is
lightly doped.
Figure 1.12: Double heterostructure LED
The simplified energy band diagram for the whole device in the absence of
an applied voltage is shown below. The fermi level Ef is continuous through
the whole structure. There is a potentil energy barrier eVo for electrons in the
CB of n+-AlGaAs against diffusion into p-GaAs. There is a band gap change at
the junction between p-GaAs and p-AlGaAs that results in a step change, δEc in
Ec, between the two bands of p-GaAs and p-AlGaAs. This, δEc is effectively a
potential energy barrier that prevents any electrons in the CB in p-GaAs passing
to the CB of p-AlGaAs.
When a forward bias is applied, majority of this voltage drops between the
n+-AlGaAs and p-GaAs and reduces the potential energy barrier eVo, just a in the
normal p-n junction diode. This allows electrons in the CB of n+- AlGaAs to
be injected into p-GaAs. This electrons however are confined to the conduction
band of p-GaAs since there is a barrier of δEc between p-GaAs and p-AlGaAs.
The wide band-gap AlGaAs layers therefore act as confining layers that restrict
injected electrons to the p-AlGaAs layer results in spontaneous photon emission.
Since the bandgap Eg of AlGaAs is greater than GaAs, the emitted photons do not
16
20. 1.1. INTRODUCTION
Figure 1.13: The quantum well structure formed by different energy bandgaps
get reabsorbed as they escape the active region and can reach the surface of the
device. Since light is also not absorbed in p-AlGaAs it can be reflected to increase
the light output.
Therefore a quantum well structure is found to be present in DH-LED struc-
ture. The study of this structure is done with the help of Quantum-Mechanics
which has been explained in the subsequent chapters.
17
21. Chapter 2
The Schrodinger Equation
2.1 QUANTUM MECHANICAL STUDY:-
In our everyday life we come across a number of instances where we do not ob-
serve many things which actually might occur behind the scene. For an example,
we drop a glass and it will smash on the floor. Walk to a wall and we cannot
walk through it. These are various simple physics related examples going around
us, but, do we actually ponder why these things are happening? There are very
basic laws of physics going on all around us that we instinctively grasp: gravity
makes things fall to the ground, pushing something makes it move, two things
can’t occupy the same place at the same time.
At the turn of the century, scientists thought that all the basic rules like this
should apply to everything in nature – but then they began to study the world of
the ultra-small. Atoms, electrons, light waves, none of these things followed the
normal rules. As physicists like Niels Bohr and Albert Einstein began to study
particles, they discovered new physics laws that were downright quirky. These
were the laws of quantum mechanics, and they got their name from the work of
Max Planck. QUANTA- CONCEPT!
The idea that particles could only contain lumps of energy in certain sizes
moved into various areas of physics. Over the next decade, Niels Bohr pulled
it into his description of how an atom worked. He said that electrons traveling
around a nucleus couldn’t have arbitrarily small or arbitrarily large amounts of
energy; they could only have multiples of a standard ”quantum” of energy.
Eventually scientists realized this explained why some materials are conduc-
tors of electricity and some aren’t – since atoms with differing energy electron
orbits conduct electricity differently. This understanding was crucial to building
a transistor, since the crystal at its core is made by mixing materials with vary-
ing amounts of conductivity. Interestingly, the fact that light was thought of as
18
22. 2.1. QUANTUM MECHANICAL STUDY:-
being constituted of quanta of energy didnt mean that it could not be thought of
to be continuous wave. Infact, in most cases light works as a wave and exhibits
wave properties. This wave nature produces some interesting effects. For exam-
ple, if an electron traveling around a nucleus behaves like a wave, then its position
at any one time becomes fuzzy. Instead of being in a concrete point, the elec-
tron is smeared out in space. This smearing means that electrons don’t always
travel quite the way one would expect. Unlike water flowing along in one direc-
tion through a hose, electrons traveling along as electrical current can sometimes
follow weird paths, especially if they’re moving near the surface of a material.
Moreover, electrons acting like a wave can sometimes burrow right through a bar-
rier. Understanding this odd behavior of electrons was necessary as scientists tried
to control how current flowed through the first transistors.
2.1.1 So which is it - a particle or a wave?
Scientists interpret quantum mechanics to mean that a tiny piece of material like
a photon or electron is both a particle and a wave. It can be either, depending on
how one looks at it or what kind of an experiment one is doing. In fact, it might
be more accurate to say that photons and electrons are neither a particle or a wave
– they’re undefined up until the very moment someone looks at them or performs
an experiment, thus forcing them to be either a particle or a wave.
This comes with other side effects: namely that a number of qualities for par-
ticles aren’t well-defined. For example, there is a theory by Werner Heisenberg
called the Uncertainty Principle. It states that if a researcher wants to measure the
speed and position of a particle, he can’t do both very accurately. If he measures
the speed carefully, then he can’t measure the position nearly as well. This doesn’t
just mean he doesn’t have good enough measurement tools – it’s more fundamen-
tal than that. If the speed is well-established then there simply does not exist a
well-established position (the electron is smeared out like a wave) and vice versa.
Albert Einstein disliked this idea. When confronted with the notion that the
laws of physics left room for such vagueness he announced: ”God does not play
dice with the universe.” Nevertheless, most physicists today accept the laws of
quantum mechanics as an accurate description of the subatomic world. And cer-
tainly it was a thorough understanding of these new laws which helped Bardeen,
Brattain, and Shockley invent the transistor.
2.1.2 WHAT IS QUANTUM-MECHANICS?
It is the science of materials on the nano-level. It deals with the wave particle
duality of the matter. Quantum mechanics is the body of scientific principles that
19
23. 2.1. QUANTUM MECHANICAL STUDY:-
explains the behavior of matter and its interactions with energy on the scale of
atoms and subatomic particles.
There are many phenomenon which the classical physics fails to explain. The
quantum mechanics comes into picture when dealing with the matter on micro and
nano level. It provides a mathematical picture of much of the dual particle-like
and wave-like behavior and interaction of energy and matter.
Quantum mechanics provides a substantially useful framework for many fea-
tures of the modern periodic table of elements including the behavior of atoms dur-
ing chemical bonding and has played a significant role in the development of many
modern technologies. In the context of quantum mechanics, the waveparticle du-
ality of energy and matter and the uncertainty principle provide a unified view
of the behavior of photons, electrons, and other atomic-scale objects. Other dis-
ciplines including quantum chemistry, quantum electronics, quantum optics, and
quantum information science. Much 19th-century physics has been re-evaluated
as the ”classical limit” of quantum mechanics and its more advanced develop-
ments in terms of quantum field theory, string theory, and speculative quantum
gravity theories. The name quantum mechanics derives from the observation that
some physical quantities can change only in discrete amounts (Latin quanta), and
not in a continuous (analog) way.
2.1.3 WHY IS QUANTUM -MECHANICS IMPORTANT?
Quantum mechanics is essential to understanding the behavior of systems at atomic
length scales and smaller. If the physical nature of an atom was solely described
by classical mechanics electrons would not ”orbit” the nucleus since orbiting elec-
trons emit radiation (due to circular motion) and would eventually collide with
the nucleus due to this loss of energy. This framework was unable to explain the
stability of atoms. Instead, electrons remain in an uncertain, non-deterministic,
”smeared”, probabilistic, waveparticle orbital about the nucleus, defying the tra-
ditional assumptions of classical mechanics and electromagnetism.
In short, the quantum-mechanical atomic model has succeeded spectacularly
in the realm where classical mechanics and electromagnetism falter.
Broadly speaking, quantum mechanics incorporates four classes of phenom-
ena for which classical physics cannot account:
Quantization of certain Physical Properties
WaveParticle Duality
Principle of Uncertainty
Quantum Entanglement
20
24. 2.1. QUANTUM MECHANICAL STUDY:-
2.1.4 WAVE FUNCTION
An isolated systems information can be well defined using the wave function
which in quantum mechanics describes the quantum state of a system of one or
more particles. Quantities associated with measurements, such as the average
momentum of a particle, are derived from the wave function by mathematical op-
erations that describe its interaction with observational devices. Thus it is of a
great importance in quantum mechanics. The most common symbols for a wave
function are the Greek letters ψ (lower-case and capital psi). The Schrdinger
equation determines how the wave function evolves over time, that is, the wave
function is the solution of the Schrdinger equation. The wave function behaves
qualitatively like other waves, such as water waves or waves on a string, because
the Schrdinger equation is mathematically a type of wave equation. This explains
the name ”wave function”, and gives rise to waveparticle duality. The wave of
the wave function, however, is not a wave in physical space; it is a wave in an
abstract mathematical ”space”, and in this respect it differs fundamentally from
water waves or waves on a string.
However, the wave function ψ alone does not give much of information.
Therefore, the squared function |ψ|2 comes into picture. It represents the proba-
bility density of measuring a particle as being at a given place at a given time.
2.1.5 SCHRODINGER EQUATION
In quantum mechanics a Schrodinger equation which is basically a second-order
differential equation in terms of a wave function Y which represents a state of
a bound electron in the molecular world. It is a function of space coordinates
and time. The wave function y is a mathematical function representing a state
of electron in an atomic world and does not possess any physical significance.
However,it has a definite physical significance. It is a probability density of an
electron in the atomic world. In such situations electron is regarded as a particle
confined in potential well which is ideally a infinite well with width of the order
of nanometer. However in most of the practical situations it is a finite potential
well. The Schrodinger equation for a particle like electron located at any general
point P(r) is given by
The solution of the Schrodinger equation gives a state function y(r,t) and dis-
crete energy levels. For this one has to invoke a mathematical model of an electron
confined in potential well. The corresponding boundary conditions may be writ-
ten down for a one dimensional potential well normally represented by a potential
energy function U(x)
The time-independent Schrodinger equation for this one-dimensional potential
21
25. 2.1. QUANTUM MECHANICAL STUDY:-
ı¯h
∂
∂t
ψ(r,t) = ˆH ψ(r,t)
The Schrdinger equation is the fundamental equation of physics for describing
quantum mechanical behavior. It is also often called the Schrdinger wave equa-
tion, and is a partial differential equation that describes how the wave function of
a physical system evolves over time.
Time-dependent equation The form of the Schrdinger equation depends on the
physical situation. The most general form is the time-dependent Schrdinger equa-
tion, which gives a description of a system evolving with time Time-dependent
Schrdinger equation (general)
ı¯h
∂
∂t
ψ = ˆH ψ
where ı is the imaginary unit, ¯h is the Planck constant divided by 2, the symbol
∂
∂t indicates a partial derivative with respect to time t, ψ (the Greek letter Psi) is
the function of the quantum system, and ˆH is the Hamiltonian operator (which
characterizes the total energy of any given wave function and takes different forms
depending on the situation).
A wave function that satisfies the non-relativistic Schrdinger equation with
V = 0. In other words, this corresponds to a particle traveling freely through
empty space. The real part of the wave function is plotted here. The most famous
example is the non-relativistic Schrdinger equation for a single particle moving in
an electric field (but not a magnetic field; see the Pauli equation): Time-dependent
Schrdinger equation (single non-relativistic particle)
ı¯h
∂
∂t
ψ(r,t) = [−
[¯h2
]
2µ
∇2
+V(r,t)]ψ(r,t)
where µ is the particle’s ”reduced mass”, V is its potential energy, ∇2 is the
Laplacian, and ψ is the wave function (more precisely, in this context, it is called
the ”position-space wave function”). In plain language, it means ”total energy
equals kinetic energy plus potential energy”, but the terms take unfamiliar forms
for reasons explained below.
Given the particular differential operators involved, this is a linear partial dif-
ferential equation. It is also a diffusion equation, but unlike theheat equation, this
one is also a wave equation given the imaginary unit present in the transient term.
The term ”Schrdinger equation” can refer to both the general equation, or the
specific nonrelativistic version. The general equation is indeed quite general, used
throughout quantum mechanics, for everything from the Dirac equation to quan-
tum field theory, by plugging in various complicated expressions for the Hamilto-
nian. The specific nonrelativistic version is a simplified approximation to reality,
22
26. 2.1. QUANTUM MECHANICAL STUDY:-
which is quite accurate in many situations, but very inaccurate in others (see rela-
tivistic quantum mechanics and relativistic quantum field theory).
To apply the Schrdinger equation, the Hamiltonian operator is set up for the
system, accounting for the kinetic and potential energy of the particles constitut-
ing the system, then inserted into the Schrdinger equation. The resulting partial
differential equation is solved for the wave function, which contains information
about the system. Time-independent equation
Eψ = ˆH ψ
The time-independent Schrdinger equation predicts that wave functions can
form standing waves, called stationary states(also called ”orbitals”, as in atomic
orbitals or molecular orbitals). These states are important in their own right, and
if the stationary states are classified and understood, then it becomes easier to
solve the time-dependent Schrdinger equation forany state. The time-independent
Schrdinger equation is the equation describing stationary states. (It is only used
when theHamiltonian itself is not dependent on time. In general, the wave func-
tion still has a time dependency.) Time-independent Schrdinger equation (general)
In words, the equation states: When the Hamiltonian operator acts on a certain
wave function ψ, and the result is proportional to the same wave function ψ, then
ψ is a stationary state, and the proportionality constant, E, is the energy of the
state ψ. The time-independent Schrdinger equation is discussed further below. In
linear algebra terminology, this equation is aneigenvalue equation. As before, the
most famous manifestation is the non-relativistic Schrdinger equation for a single
particle moving in an electric field (but not a magnetic field): Time-independent
Schrdinger equation (single non-relativistic particle)
ı¯h
∂
∂t
ψ(r) = [−
[¯h2
]
2µ
∇2
+V(r)]ψ(r)
with definitions as above.
23
27. Chapter 3
Mathematica
3.1 Introduction to Mathematica
Mathematica software can be used for solving Schrodinger equation with the fol-
lowing types of potential: infinite double rectangular well and double rectangular
well. The package outputs are the energy eigen values and plots of their corre-
sponding eigen functions. The single square limit is beautifully reproduced in
each case by the software and quantization of energy is demonstrated for large
barrier limit for the double well cases.
3.1.1 What is Mathematica
Mathematica is a computational software program used in many scientific, engi-
neering, mathematical and computing fields, based on symbolic mathematics. It
was conceived by Stephen Wolfram and is developed by Wolfram Research of
Champaign, Illinois. The Wolfram Language is the programming language used
in Mathematica .
3.1.2 Features of Mathematica
Elementary and special mathematical function library.
Matrix and data manipulation tools including support for spare arrays
Support for complex number, arbitrary precision, interval arithmetic and sym-
bolic computation.
2D and 3D data, function and geo visualization and animation tools
24
28. 3.1. INTRODUCTION TO MATHEMATICA
3.1.3 Our purpose of using Mathematica
As we have mentioned earlier Mathematica is a very powerful calculations soft-
ware which is capable of handling complex differential and intergral equations.
In our project we have solved Schrodingers differential equation and also we have
plotted the graphs using this software.
For example, If we want to solve an equation over the postitve integers
x2
+2y3
= 3681wherex > 0andy > 0 (3.1)
Solve
[x∧
2+2y∧
3==3681&&x > 0&&y > 0,{x,y} (3.2)
The output which we obtain is
{x → 15,y → 12},{x → 41,y → 10},{x → 57,y → 6}Integers (3.3)
Also Mathematica can solve integral of a given equation using proper commands-
Example- If we want the answer to an improper integral -
∞
0
e−xdx
(3.4)
In Mathematica, the command which is used to solve integration is -
Integrate
[E(
−x2
),x,0,] (3.5)
The output obtained in mathematica is
√
π
2
k = 8π2mE
h2k = 8π2mE
h2k = 8π2mE
h2
25
29. 3.1. INTRODUCTION TO MATHEMATICA
Figure 3.1: Particle in a finite potential well
2
√
2e m
h2 π
eq : Ψ”[x]+k∧2Ψ[x] == 0eq : Ψ”[x]+k∧2Ψ[x] == 0eq : Ψ”[x]+k∧2Ψ[x] == 0
eq : 8emπ2Ψ[x]
h2 +Ψ [x] == 0
DSolve[Ψ”[x]+k∧2Ψ[x] == 0,Ψ[x],x]DSolve[Ψ”[x]+k∧2Ψ[x] == 0,Ψ[x],x]DSolve[Ψ”[x]+k∧2Ψ[x] == 0,Ψ[x],x]
Ψ[x] → C[1]Cos 2
√
2e
√
mπx
h +C[2]Sin 2
√
2e
√
mπx
h
sol1 = DSolve[{Ψ”[x]+k∧2Ψ[x] == 0,Ψ[0] == 0},Ψ[x],x]sol1 = DSolve[{Ψ”[x]+k∧2Ψ[x] == 0,Ψ[0] == 0},Ψ[x],x]sol1 = DSolve[{Ψ”[x]+k∧2Ψ[x] == 0,Ψ[0] == 0},Ψ[x],x]
Ψ[x] → C[2]Sin 2
√
2e
√
mπx
h
sol2 = sol1[[1,1]]sol2 = sol1[[1,1]]sol2 = sol1[[1,1]]
Ψ[x] → C[2]Sin 2
√
2e
√
mπx
h
sol3 = Ψ[x]==C[2]Sin 2
√
2e
√
mπx
hsol3 = Ψ[x]==C[2]Sin 2
√
2e
√
mπx
hsol3 = Ψ[x]==C[2]Sin 2
√
2e
√
mπx
h
Ψ[x] == C[2]Sin 2
√
2e
√
mπx
h
Ψ[x] == C[2]Sin 2
√
2e
√
mπx
hΨ[x] == C[2]Sin 2
√
2e
√
mπx
hΨ[x] == C[2]Sin 2
√
2e
√
mπx
h
26
49. 3.1. INTRODUCTION TO MATHEMATICA
Using values of energy levels given as E we can calculate wavelength for a
given DH LED.
This can be found using following formula
λ = hc
E
When we are calculating value of ,we get to know that the we need to find
allowed transition of E.
Whether a particular electronic transition is allowed or not is decided by the
selection rule. According to the selection rule only those electronic transitions are
allowed for which the difference in the quantum number is even number.
The number of energy levels in the quantum well is more than 50. Nearly
equal number of energy levels for holes. Then one has to apply the selection rule to
remove forbidden transtions. This is quite cumbersome and tedious. Therefore we
have limited our task to estimate minimum and maximum possible wavelengths
in the output radiation of DH LED. After getting values of E we have calculated
values of Emin and Emax.
Emin value gives us limiting case value and Emax value gives us maximum
allowed difference between two well structure.
Therefore the considered values are 1.39 ∗ 104 and 0.5852 for electrons and
for holes considered values are 1.19∗104 and 0.5860.
Now consider a quantum well structure, the value of band gap between the
two wells gives us the value of Emin and maximum value of E is calculated by
taking the difference between two quantum well.
We get values of Emin = 1.4eV and Emax = 1.98eV.
Therefore we are considering values of energy levels for electrons as well as
for holes as Emin=1.4eV and Emax=1.98eV, we get values of wavelength as
λmax = 8.88∗107 m or 888 nm.
λmin= 6.26∗107 m or 626 nm.
46
50. Chapter 4
Application and future scope
4.1 Application and Future Scope
4.1.1 Introduction
Modern technological capabilities of epitaxial growth allow us to fabricate types
of nanostructures even with more complicated potential profiles. For example, it
is possible to fabricate nanostructures that contain two or more coupled low di-
mensional Nano objects (a structure with size less than or about 10 nm is called a
Nano object or a nanostructure). It becomes possible to control the energy spec-
trum of electrons in such structures not only by changing the form of an individual
Nano object, but also by changing the distance and barrier height between neigh-
boring Nano objects. If individual Nano objects are separated by low and narrow
potential barriers, electrons can easily tunnel from one Nano object to another.
This significantly affects the character of the electron energy spectrum in such a
structure.
Further, because of their quasi-two dimensional nature, electrons in quantum
wells have a density of states as a function of energy that has distinct steps, versus
a smooth square root dependence that is found in bulk materials. Additionally, the
effective mass of holes in the valence band is changed to more closely match that
of electrons in the conduction band. These two factors, together with the reduced
amount of active material in quantum wells, leads to better performance in optical
devices such as laser diodes. As a result quantum wells are in wide use in diode
lasers, including red lasers for DVDs and laser pointers, infra-red lasers in fiber
optic transmitters, or in blue lasers.
47
51. 4.1. APPLICATION AND FUTURE SCOPE
4.1.2 RESULT AND CONCLUSION
Quantum mechanics paved way for the effective and in depth study of the dou-
ble heterojunction LED structure. We could understand the very idea behind the
light which a LED emits. The Schrodinger equation has been solved for potential
well created in double hetero-junction LED structure and various energy levels
have been calculated. We have used MATHEMATICA software for optimized
mathematical solution and representation of our problem.
Various energy bands thus calculated give an idea of the possible transition in
LED structure. Photons are emitted when any kind of transition from conduction
band to valence band occur. The minimum wavelength results when transition
takes place between levels whose energy difference is maximum. The maximum
wavelength of the emitted photon is achieved when transition takes place between
levels whose energy difference is minimum. The calculated wavelength is found
to be less than or equal to the maximum permitted/observed experimental wave-
length in LED.
4.1.3 FUTURE SCOPE
Different colors of LED have different power consumptions and therefore there
costs vary. Hence, we strive hard to innovate and develop LEDs of different col-
ors. In the year 2015, blue LED was a revolutionary innovation in the field on
Nanotechnology. Blue was the last and most difficult – advance required to create
white LED light. And with white LED light, companies are able to create smart-
phone and computer screens, as well as light bulbs that last longer and use less
electricity than any bulb invented before.
LEDs are basically semiconductors that have been built so they emit light
when they’re activated. Different chemicals give different LEDs their colors. En-
gineers made the first LEDs in the 1950s and 60s. Early iterations included laser-
emitting devices that worked only when bathed in liquid nitrogen. At the time,
scientists developed LEDs that emitted everything from infrared light to green
light. But they couldn’t quite get to blue. That required chemicals, including
carefully-created crystals that they weren’t yet able to make in the lab.
Once researchers did figure it out, however, the results were remarkable. Upon
studying various nanostructures and finding solutions using schrodingers’ equa-
tion realization and fabrication of white LEDs by combining red, green and blue
ones, could be possible with tunable colors. The various permutation and combi-
nation will give various possible energy level transitions. Based on the wavelength
of the emitted photon and/or materials used for fabrication the color of the LED
can be manipulated. Detailed calculations of the energy levels of holes and subse-
quent application of the selection rule has not been carried out in the present work.
48
52. 4.1. APPLICATION AND FUTURE SCOPE
Therefore authentic prediction of wavelengths present in the output radiation of
the double hetero-structure is beyond the scope of the current work. This work
can definitely be carried out in future.
49
53. Bibliography
[1] Quantum Mechanics for Nanostructures (2010) (Malestrom)
[2] Introduction to Quantum Mechanics by David Griffiths
[3] Principles of Electronic Materials and Devices by Kasap and Islam
[4] Design parameters of frequency response of GaAs(Ga, Al) As double het-
erostructure LED’s for optical communications from IEEE
[5] Schrdinger Equations and Diffusion Theory (Modern Birkhuser Classics)
[6] Getting Started with LATEX by David R. Wilkins
[7] Differential equations with Mathematica by Martha L. Abell and James
P.Barselton
[8] Mathematica help document
[9] LATEX help document
[10] Wikipedia
50