The document discusses the semiconductor in thermal equilibrium. It defines equilibrium as a state where no external forces are acting on the semiconductor. The main charge carriers in semiconductors are electrons and holes. The density of electrons and holes depends on the density of states function and the Fermi distribution function. The distributions of electrons and holes with respect to energy are given by the density of allowed quantum states times the probability of occupation. Expressions are derived for the thermal equilibrium concentrations of electrons and holes. The intrinsic carrier concentration is defined as the concentration of electrons equal to the concentration of holes in an intrinsic semiconductor. Equations are given relating the intrinsic carrier concentration to material properties.
This document introduces the Fermi-Dirac distribution function. It begins by discussing basic concepts like the Fermi level and Fermi energy. It then covers Fermi and Bose statistics, and the postulates of Fermi particles. The derivation of the Fermi-Dirac distribution function is shown, which gives the probability of a quantum state being occupied at a given energy and temperature. Graphs are presented showing how the distribution varies with different temperatures. The classical limit of the distribution is discussed. References are provided at the end.
1. The particle is confined to a one-dimensional box of length L, with potential energy V=0 inside the box and V=infinity outside.
2. The wave functions and energy levels of the particle are quantized. The wave functions are sinusoidal with n nodes, and the energy is proportional to n^2.
3. The energy levels are spaced further apart at higher n values, with the spacing between levels increasing as the box size decreases.
1. Quantum mechanics describes the behavior of matter and light at the atomic scale, which is very different from classical mechanics. Particles have both wave-like and particle-like properties.
2. The de Broglie hypothesis proposed that all particles have an associated wavelength that depends on their momentum. This was confirmed experimentally by observing electron diffraction patterns.
3. Heisenberg's uncertainty principle states that it is impossible to precisely measure both a particle's position and momentum simultaneously. This limits our ability to predict the future behavior of particles.
The document discusses semiconductor equilibrium and carrier concentrations. It introduces intrinsic and extrinsic semiconductors. Intrinsic semiconductors have no impurities, with electron and hole concentrations (ni, pi) determined by the material properties and temperature. Extrinsic semiconductors are doped with impurities that add either electrons or holes. Donor impurities add free electrons making an n-type semiconductor. Acceptor impurities add free holes making a p-type semiconductor. The Fermi level position determines whether electrons or holes are the majority carrier. Examples of doping silicon with phosphorus and boron are provided to illustrate n-type and p-type doping.
1. The document discusses the Fermi-Dirac distribution function, which describes the occupancy of energy levels by electrons in a solid.
2. The probability that an energy level E is filled by an electron is given by the Fermi-Dirac distribution function f(E) = 1/(1+e^(E-EF)/kT), where EF is the Fermi level energy.
3. The derivation of the Fermi-Dirac distribution function maximizes the logarithm of the multiplicity function, or number of configurations that electrons can occupy energy states, to find the occupancy probability that corresponds to thermal equilibrium.
1) The document discusses carrier transport in semiconductors, including drift and diffusion currents. Carrier drift occurs due to an electric field and is characterized by carrier mobility, while diffusion is due to concentration gradients and characterized by the diffusion coefficient.
2) Mobility is affected by phonon and ionized impurity scattering. The net mobility is the sum of these scattering components. Conductivity is directly proportional to carrier concentration and mobility.
3) The Hall effect can be used to determine the type of semiconductor (n-type or p-type), carrier concentration, and carrier mobility. Measurement of the Hall voltage polarity indicates type, and its magnitude relates to concentration and mobility.
This document discusses different types of paramagnetism. It defines paramagnetism as having a positive magnetic susceptibility and being able to align with an applied magnetic field. Paramagnetism can originate from unpaired electrons or conduction electrons in metals. The document then covers Lengevin's classical theory of paramagnetism, Curie and Curie-Weiss laws, Pauli paramagnetism from conduction electrons, and the crossover between localized moment behavior and Pauli paramagnetism.
This document discusses the magnonic Wiedemann-Franz law proposed by Kouki Nakata, P. Simon, and D. Loss in Phys. Rev. B 92, 134425 (2015). The key points are:
1) They show that the ratios of the Onsager coefficients, Wiedemann-Franz law, Seebeck coefficient, and Peltier coefficient for magnon transport in ferromagnetic insulators are universal and material independent at low temperatures, similar to electron transport in metals.
2) This establishes a "magnonic Wiedemann-Franz law" for magnon transport analogous to the classic Wiedemann-Franz law for electrons.
This document introduces the Fermi-Dirac distribution function. It begins by discussing basic concepts like the Fermi level and Fermi energy. It then covers Fermi and Bose statistics, and the postulates of Fermi particles. The derivation of the Fermi-Dirac distribution function is shown, which gives the probability of a quantum state being occupied at a given energy and temperature. Graphs are presented showing how the distribution varies with different temperatures. The classical limit of the distribution is discussed. References are provided at the end.
1. The particle is confined to a one-dimensional box of length L, with potential energy V=0 inside the box and V=infinity outside.
2. The wave functions and energy levels of the particle are quantized. The wave functions are sinusoidal with n nodes, and the energy is proportional to n^2.
3. The energy levels are spaced further apart at higher n values, with the spacing between levels increasing as the box size decreases.
1. Quantum mechanics describes the behavior of matter and light at the atomic scale, which is very different from classical mechanics. Particles have both wave-like and particle-like properties.
2. The de Broglie hypothesis proposed that all particles have an associated wavelength that depends on their momentum. This was confirmed experimentally by observing electron diffraction patterns.
3. Heisenberg's uncertainty principle states that it is impossible to precisely measure both a particle's position and momentum simultaneously. This limits our ability to predict the future behavior of particles.
The document discusses semiconductor equilibrium and carrier concentrations. It introduces intrinsic and extrinsic semiconductors. Intrinsic semiconductors have no impurities, with electron and hole concentrations (ni, pi) determined by the material properties and temperature. Extrinsic semiconductors are doped with impurities that add either electrons or holes. Donor impurities add free electrons making an n-type semiconductor. Acceptor impurities add free holes making a p-type semiconductor. The Fermi level position determines whether electrons or holes are the majority carrier. Examples of doping silicon with phosphorus and boron are provided to illustrate n-type and p-type doping.
1. The document discusses the Fermi-Dirac distribution function, which describes the occupancy of energy levels by electrons in a solid.
2. The probability that an energy level E is filled by an electron is given by the Fermi-Dirac distribution function f(E) = 1/(1+e^(E-EF)/kT), where EF is the Fermi level energy.
3. The derivation of the Fermi-Dirac distribution function maximizes the logarithm of the multiplicity function, or number of configurations that electrons can occupy energy states, to find the occupancy probability that corresponds to thermal equilibrium.
1) The document discusses carrier transport in semiconductors, including drift and diffusion currents. Carrier drift occurs due to an electric field and is characterized by carrier mobility, while diffusion is due to concentration gradients and characterized by the diffusion coefficient.
2) Mobility is affected by phonon and ionized impurity scattering. The net mobility is the sum of these scattering components. Conductivity is directly proportional to carrier concentration and mobility.
3) The Hall effect can be used to determine the type of semiconductor (n-type or p-type), carrier concentration, and carrier mobility. Measurement of the Hall voltage polarity indicates type, and its magnitude relates to concentration and mobility.
This document discusses different types of paramagnetism. It defines paramagnetism as having a positive magnetic susceptibility and being able to align with an applied magnetic field. Paramagnetism can originate from unpaired electrons or conduction electrons in metals. The document then covers Lengevin's classical theory of paramagnetism, Curie and Curie-Weiss laws, Pauli paramagnetism from conduction electrons, and the crossover between localized moment behavior and Pauli paramagnetism.
This document discusses the magnonic Wiedemann-Franz law proposed by Kouki Nakata, P. Simon, and D. Loss in Phys. Rev. B 92, 134425 (2015). The key points are:
1) They show that the ratios of the Onsager coefficients, Wiedemann-Franz law, Seebeck coefficient, and Peltier coefficient for magnon transport in ferromagnetic insulators are universal and material independent at low temperatures, similar to electron transport in metals.
2) This establishes a "magnonic Wiedemann-Franz law" for magnon transport analogous to the classic Wiedemann-Franz law for electrons.
This document provides an overview of statistical mechanics. It defines microstates and macrostates, and explains that statistical mechanics studies systems with many microstates corresponding to a given macrostate. The Boltzmann distribution is derived, which gives the probability of finding a system in a particular microstate as being proportional to the exponential of the negative of the energy of that microstate divided by the temperature. Maxwell-Boltzmann statistics are described as applying to classical distinguishable particles, yielding the Maxwell-Boltzmann distribution. References for further reading are also included.
Nonequilibrium Excess Carriers in Semiconductorstedoado
The document discusses nonequilibrium excess carriers in semiconductors. It describes carrier generation and recombination processes, including direct band-to-band generation and recombination. Excess carrier generation occurs when high-energy photons excite electrons into the conduction band, generating electron-hole pairs. The document also discusses the Shockley-Read-Hall theory of recombination at trap energy levels within the bandgap, and the rates of electron and hole capture and emission processes. Under low-level injection and intrinsic doping assumptions, the recombination rate of excess carriers depends on the material parameters.
This document discusses semiconductors and their properties. It begins by defining semiconductors as materials with resistivity between insulators and conductors. It then discusses several key points:
- Semiconductor resistivity is sensitive to temperature, illumination, magnetic fields, and impurities.
- Common semiconductor materials include silicon, germanium, and various compound semiconductors.
- Semiconductors have a small bandgap that allows slight conductivity through thermal excitation of electrons.
- The bandgap can be measured through optical absorption and determines many material properties.
- Carrier concentrations in intrinsic and extrinsic semiconductors are described through concepts like the density of states, Fer
This Presentation "Energy band theory of solids" will help you to Clarify your doubts and Enrich your Knowledge. Kindly use this presentation as a Reference and utilize this presentation
This document summarizes a seminar on energy bands and gaps in semiconductors. It discusses the introduction of energy bands, including valence bands, conduction bands, and forbidden gaps. It describes how materials are classified as insulators, conductors, or semiconductors based on their band gap energies. Direct and indirect band gap semiconductors are also defined. Intrinsic, n-type, and p-type semiconductors are classified based on their majority charge carriers.
The document discusses how the Fermi level in semiconductors moves with increasing temperature and the concept of mobility in semiconductors. It explains that as temperature increases, electrons can be found above the Fermi level which lies between the conduction and valence bands. The position of the Fermi level depends on doping and it moves closer to the conduction band in n-type semiconductors and closer to the valence band in p-type semiconductors. Mobility refers to how easily electrons move through a semiconductor and is dependent on doping, with higher doping resulting in lower mobility.
In extrinsic semiconductors, the Fermi level lies close to either the conduction or valence band depending on whether there are more electrons or holes. For n-type semiconductors, donor impurities add extra electrons to the conduction band, making the Fermi level closer to the conduction band. For p-type semiconductors, acceptor impurities create more holes in the valence band, positioning the Fermi level nearer to the valence band. The Fermi level equations show its relation to factors like temperature, carrier concentration, and band properties.
Density functional theory (DFT) and the concepts of the augmented-plane-wave ...ABDERRAHMANE REGGAD
Density functional theory (DFT) is a quantum mechanical method used to investigate the electronic structure of materials. The document discusses DFT and the linearized augmented plane wave plus local orbital (LAPW+lo) method implemented in the Wien2k software. Wien2k is widely used to study the properties of solids and surfaces using an all-electron, relativistic, and full-potential DFT approach. The document provides an overview of the theoretical foundations of DFT and LAPW methods as well as examples of applications studied with Wien2k.
Basics of semiconductor, current equation, continuity equation, injected mino...Nidhee Bhuwal
This document provides an introduction to semiconductors. It discusses topics such as the crystal structure of germanium and silicon, intrinsic and extrinsic semiconductors, carrier mobility, and diffusion currents. Equations are presented for carrier concentrations, mass action law, drift current density, and the continuity equation. Generation and recombination of charge carriers is explained. Minority carrier injection, potential variation in graded semiconductors, and the contact potential of a step graded junction are also summarized.
This document discusses semiconductor materials and devices. It covers the classification of materials based on their band structure, including direct and indirect bandgap semiconductors. It also discusses the classification of semiconductors as n-type or p-type based on the position of the Fermi level. Finally, it derives expressions for the effective mass of electrons and holes in semiconductors.
Semiconductor Physics
In 3 sentences:
Semiconductors have electrical properties between metals and insulators, with conductivities from 10-4 to 104 S/m. Their crystal structure leads to electrons being able to move between valence and conduction bands, making semiconductors bipolar with both electrons and holes conducting. Semiconductors are classified as intrinsic, with equal electron and hole concentrations determined by temperature, or extrinsic with additional carriers from dopant impurities making them either n-type or p-type.
1) The document discusses the Fermi level and distribution as it relates to electrons in metals.
2) The Fermi distribution depends on the Fermi energy (EF) and describes the probability of electron occupation at different energy levels in a metal.
3) At absolute zero temperature, electrons completely fill available energy states up to the Fermi level, with the probability of occupation dropping abruptly to zero for states above EF.
The document discusses the Hall effect, which is when a conductor carrying an electric current is placed perpendicular to a magnetic field. This causes the charges in the conductor to experience a force perpendicular to both the current and the magnetic field. This displacement of charges establishes a voltage difference known as the Hall voltage across the conductor. The Hall effect can be used to determine various properties of materials like charge carrier types and densities. Precise measurement techniques like Van der Pauw and Hall coefficient calculations are used to characterize semiconductor samples.
This document introduces key concepts in statistical mechanics, including the idea that macroscopic properties are thermal averages of microscopic properties. It discusses common statistical ensembles like the microcanonical ensemble (isolated systems with constant energy) and the canonical ensemble (systems in equilibrium with a heat reservoir). The canonical partition function Z relates microscopic quantum mechanics to macroscopic thermodynamics and can be used to calculate thermodynamic variables. Properties like heat capacity can be derived from fluctuations in energy calculated from the partition function.
This document discusses statistical mechanics and the distribution of energy among particles in a system. It provides 3 main types of statistical distributions based on the properties of identical particles: Maxwell-Boltzmann, Bose-Einstein, and Fermi-Dirac statistics. Maxwell-Boltzmann statistics applies to distinguishable particles, while Bose-Einstein and Fermi-Dirac apply to indistinguishable particles (bosons and fermions respectively), with the key difference being that fermions obey the Pauli exclusion principle. The document also discusses applications of these distributions, including the Maxwell-Boltzmann distribution law for molecular energies in an ideal gas.
(10) electron spin & angular momentum couplingIbenk Hallen
- Electrons have intrinsic angular momentum called spin. Spin takes values of ±1/2.
- Pauli exclusion principle states that no two electrons in an atom can have the same set of quantum numbers (n, l, ml, ms).
- Atomic orbitals are characterized by principal quantum number n, azimuthal quantum number l, and magnetic quantum number ml.
- Electrons first fill up lowest energy orbitals according to Aufbau principle.
- Spin-orbit coupling arises from the interaction of an electron's magnetic moment with the magnetic field generated by the nucleus. This leads to splitting of energy levels.
1. Drude's classical theory of electrical conduction models a metal as composed of stationary ions and free-moving valence electrons. Electrons move randomly between collisions with ions or other electrons.
2. The drift velocity of electrons in an electric field is proportional to the field strength, resulting in a net current of electrons. This explains metals' conductivity.
3. However, the classical model fails to fully explain experimental observations such as the temperature dependence of resistivity and heat capacity. Quantum mechanics provides a more accurate description of electron behavior in metals.
This document discusses direct and indirect bandgap semiconductors. Direct bandgap semiconductors have their valence band maximum and conduction band minimum occur at the same value of k, allowing for energy and momentum conservation. Examples include GaAs, InP, CdS. Indirect bandgap semiconductors have their bands offset in k, making them unsuitable for optical devices. The document also describes methods to determine if a bandgap is direct or indirect using absorption spectroscopy plots of the absorption coefficient. Finally, it introduces 1D, 2D and 3D quantum confinement structures and how quantum confinement can modify electron-hole pair energies and radiation wavelengths.
IONIC POLARIZATION ANDDIELECTRIC RESONANCE..Polarization is the separation of positive and negative charges in a system so that there is a net electric dipole moment per unit volume.
Ionic polarization is polarization caused by relative displacements between positive and negative ions in ionic crystals.
This type of polarization occurs in ionic crystals such as NaCl, KCl etcs.
Dielectric resonance occurs when the frequency of the applied ac field is such that there is maximum energy transfer from the ac voltage source to heat in the dielectric through the alternating polarization and depolarization of the molecules by the ac field.
This document provides an overview of electronic band structure and Bloch theory in solid state physics. It discusses the differences between the Sommerfeld and Bloch approaches to modeling electron behavior in periodic solids. Key points include:
- Bloch's treatment models electrons using band indices and crystal momentum rather than just momentum.
- Bloch states follow classical dynamics on average, with crystal momentum replacing ordinary momentum.
- The band structure determines allowed electron energies and velocities for a given crystal momentum.
- Bloch's theory accounts for periodic potentials within the crystal lattice, allowing for band gaps and a more accurate description of electron behavior in solids.
The document discusses carrier concentration calculations in semiconductors. It defines density of states and distribution functions, which are used to calculate the number of electrons and holes. The Fermi-Dirac distribution gives the probability that an energy state is occupied. For non-degenerate semiconductors, the intrinsic carrier concentration is proportional to the exponential of the bandgap divided by temperature. For degenerate semiconductors with high doping, the Fermi level moves into the bands and the effective bandgap is reduced.
Dielectrics are materials that have a permanent electric dipole moment. They are used to store electrical energy as they are electrical insulators. A dipole is formed when there is a separation of equal and opposite charges. The dipole moment is calculated as the product of the charge and the distance between them.
The dielectric constant is the ratio of the permeability of the material to the permeability of free space. It determines the polarization characteristics of a dielectric. Polarization occurs when an applied electric field causes a separation of charges in the material, creating electric dipoles. The different types of polarization are electronic, ionic, orientational and space charge polarization.
This document provides an overview of statistical mechanics. It defines microstates and macrostates, and explains that statistical mechanics studies systems with many microstates corresponding to a given macrostate. The Boltzmann distribution is derived, which gives the probability of finding a system in a particular microstate as being proportional to the exponential of the negative of the energy of that microstate divided by the temperature. Maxwell-Boltzmann statistics are described as applying to classical distinguishable particles, yielding the Maxwell-Boltzmann distribution. References for further reading are also included.
Nonequilibrium Excess Carriers in Semiconductorstedoado
The document discusses nonequilibrium excess carriers in semiconductors. It describes carrier generation and recombination processes, including direct band-to-band generation and recombination. Excess carrier generation occurs when high-energy photons excite electrons into the conduction band, generating electron-hole pairs. The document also discusses the Shockley-Read-Hall theory of recombination at trap energy levels within the bandgap, and the rates of electron and hole capture and emission processes. Under low-level injection and intrinsic doping assumptions, the recombination rate of excess carriers depends on the material parameters.
This document discusses semiconductors and their properties. It begins by defining semiconductors as materials with resistivity between insulators and conductors. It then discusses several key points:
- Semiconductor resistivity is sensitive to temperature, illumination, magnetic fields, and impurities.
- Common semiconductor materials include silicon, germanium, and various compound semiconductors.
- Semiconductors have a small bandgap that allows slight conductivity through thermal excitation of electrons.
- The bandgap can be measured through optical absorption and determines many material properties.
- Carrier concentrations in intrinsic and extrinsic semiconductors are described through concepts like the density of states, Fer
This Presentation "Energy band theory of solids" will help you to Clarify your doubts and Enrich your Knowledge. Kindly use this presentation as a Reference and utilize this presentation
This document summarizes a seminar on energy bands and gaps in semiconductors. It discusses the introduction of energy bands, including valence bands, conduction bands, and forbidden gaps. It describes how materials are classified as insulators, conductors, or semiconductors based on their band gap energies. Direct and indirect band gap semiconductors are also defined. Intrinsic, n-type, and p-type semiconductors are classified based on their majority charge carriers.
The document discusses how the Fermi level in semiconductors moves with increasing temperature and the concept of mobility in semiconductors. It explains that as temperature increases, electrons can be found above the Fermi level which lies between the conduction and valence bands. The position of the Fermi level depends on doping and it moves closer to the conduction band in n-type semiconductors and closer to the valence band in p-type semiconductors. Mobility refers to how easily electrons move through a semiconductor and is dependent on doping, with higher doping resulting in lower mobility.
In extrinsic semiconductors, the Fermi level lies close to either the conduction or valence band depending on whether there are more electrons or holes. For n-type semiconductors, donor impurities add extra electrons to the conduction band, making the Fermi level closer to the conduction band. For p-type semiconductors, acceptor impurities create more holes in the valence band, positioning the Fermi level nearer to the valence band. The Fermi level equations show its relation to factors like temperature, carrier concentration, and band properties.
Density functional theory (DFT) and the concepts of the augmented-plane-wave ...ABDERRAHMANE REGGAD
Density functional theory (DFT) is a quantum mechanical method used to investigate the electronic structure of materials. The document discusses DFT and the linearized augmented plane wave plus local orbital (LAPW+lo) method implemented in the Wien2k software. Wien2k is widely used to study the properties of solids and surfaces using an all-electron, relativistic, and full-potential DFT approach. The document provides an overview of the theoretical foundations of DFT and LAPW methods as well as examples of applications studied with Wien2k.
Basics of semiconductor, current equation, continuity equation, injected mino...Nidhee Bhuwal
This document provides an introduction to semiconductors. It discusses topics such as the crystal structure of germanium and silicon, intrinsic and extrinsic semiconductors, carrier mobility, and diffusion currents. Equations are presented for carrier concentrations, mass action law, drift current density, and the continuity equation. Generation and recombination of charge carriers is explained. Minority carrier injection, potential variation in graded semiconductors, and the contact potential of a step graded junction are also summarized.
This document discusses semiconductor materials and devices. It covers the classification of materials based on their band structure, including direct and indirect bandgap semiconductors. It also discusses the classification of semiconductors as n-type or p-type based on the position of the Fermi level. Finally, it derives expressions for the effective mass of electrons and holes in semiconductors.
Semiconductor Physics
In 3 sentences:
Semiconductors have electrical properties between metals and insulators, with conductivities from 10-4 to 104 S/m. Their crystal structure leads to electrons being able to move between valence and conduction bands, making semiconductors bipolar with both electrons and holes conducting. Semiconductors are classified as intrinsic, with equal electron and hole concentrations determined by temperature, or extrinsic with additional carriers from dopant impurities making them either n-type or p-type.
1) The document discusses the Fermi level and distribution as it relates to electrons in metals.
2) The Fermi distribution depends on the Fermi energy (EF) and describes the probability of electron occupation at different energy levels in a metal.
3) At absolute zero temperature, electrons completely fill available energy states up to the Fermi level, with the probability of occupation dropping abruptly to zero for states above EF.
The document discusses the Hall effect, which is when a conductor carrying an electric current is placed perpendicular to a magnetic field. This causes the charges in the conductor to experience a force perpendicular to both the current and the magnetic field. This displacement of charges establishes a voltage difference known as the Hall voltage across the conductor. The Hall effect can be used to determine various properties of materials like charge carrier types and densities. Precise measurement techniques like Van der Pauw and Hall coefficient calculations are used to characterize semiconductor samples.
This document introduces key concepts in statistical mechanics, including the idea that macroscopic properties are thermal averages of microscopic properties. It discusses common statistical ensembles like the microcanonical ensemble (isolated systems with constant energy) and the canonical ensemble (systems in equilibrium with a heat reservoir). The canonical partition function Z relates microscopic quantum mechanics to macroscopic thermodynamics and can be used to calculate thermodynamic variables. Properties like heat capacity can be derived from fluctuations in energy calculated from the partition function.
This document discusses statistical mechanics and the distribution of energy among particles in a system. It provides 3 main types of statistical distributions based on the properties of identical particles: Maxwell-Boltzmann, Bose-Einstein, and Fermi-Dirac statistics. Maxwell-Boltzmann statistics applies to distinguishable particles, while Bose-Einstein and Fermi-Dirac apply to indistinguishable particles (bosons and fermions respectively), with the key difference being that fermions obey the Pauli exclusion principle. The document also discusses applications of these distributions, including the Maxwell-Boltzmann distribution law for molecular energies in an ideal gas.
(10) electron spin & angular momentum couplingIbenk Hallen
- Electrons have intrinsic angular momentum called spin. Spin takes values of ±1/2.
- Pauli exclusion principle states that no two electrons in an atom can have the same set of quantum numbers (n, l, ml, ms).
- Atomic orbitals are characterized by principal quantum number n, azimuthal quantum number l, and magnetic quantum number ml.
- Electrons first fill up lowest energy orbitals according to Aufbau principle.
- Spin-orbit coupling arises from the interaction of an electron's magnetic moment with the magnetic field generated by the nucleus. This leads to splitting of energy levels.
1. Drude's classical theory of electrical conduction models a metal as composed of stationary ions and free-moving valence electrons. Electrons move randomly between collisions with ions or other electrons.
2. The drift velocity of electrons in an electric field is proportional to the field strength, resulting in a net current of electrons. This explains metals' conductivity.
3. However, the classical model fails to fully explain experimental observations such as the temperature dependence of resistivity and heat capacity. Quantum mechanics provides a more accurate description of electron behavior in metals.
This document discusses direct and indirect bandgap semiconductors. Direct bandgap semiconductors have their valence band maximum and conduction band minimum occur at the same value of k, allowing for energy and momentum conservation. Examples include GaAs, InP, CdS. Indirect bandgap semiconductors have their bands offset in k, making them unsuitable for optical devices. The document also describes methods to determine if a bandgap is direct or indirect using absorption spectroscopy plots of the absorption coefficient. Finally, it introduces 1D, 2D and 3D quantum confinement structures and how quantum confinement can modify electron-hole pair energies and radiation wavelengths.
IONIC POLARIZATION ANDDIELECTRIC RESONANCE..Polarization is the separation of positive and negative charges in a system so that there is a net electric dipole moment per unit volume.
Ionic polarization is polarization caused by relative displacements between positive and negative ions in ionic crystals.
This type of polarization occurs in ionic crystals such as NaCl, KCl etcs.
Dielectric resonance occurs when the frequency of the applied ac field is such that there is maximum energy transfer from the ac voltage source to heat in the dielectric through the alternating polarization and depolarization of the molecules by the ac field.
This document provides an overview of electronic band structure and Bloch theory in solid state physics. It discusses the differences between the Sommerfeld and Bloch approaches to modeling electron behavior in periodic solids. Key points include:
- Bloch's treatment models electrons using band indices and crystal momentum rather than just momentum.
- Bloch states follow classical dynamics on average, with crystal momentum replacing ordinary momentum.
- The band structure determines allowed electron energies and velocities for a given crystal momentum.
- Bloch's theory accounts for periodic potentials within the crystal lattice, allowing for band gaps and a more accurate description of electron behavior in solids.
The document discusses carrier concentration calculations in semiconductors. It defines density of states and distribution functions, which are used to calculate the number of electrons and holes. The Fermi-Dirac distribution gives the probability that an energy state is occupied. For non-degenerate semiconductors, the intrinsic carrier concentration is proportional to the exponential of the bandgap divided by temperature. For degenerate semiconductors with high doping, the Fermi level moves into the bands and the effective bandgap is reduced.
Dielectrics are materials that have a permanent electric dipole moment. They are used to store electrical energy as they are electrical insulators. A dipole is formed when there is a separation of equal and opposite charges. The dipole moment is calculated as the product of the charge and the distance between them.
The dielectric constant is the ratio of the permeability of the material to the permeability of free space. It determines the polarization characteristics of a dielectric. Polarization occurs when an applied electric field causes a separation of charges in the material, creating electric dipoles. The different types of polarization are electronic, ionic, orientational and space charge polarization.
Dielectrics are materials that contain permanently aligned electric dipoles. When an electric field is applied, the dipoles in dielectric materials can undergo several types of polarization, including electronic, ionic, orientational, and space charge polarization. This polarization leads to an increase in the electric flux density and dielectric constant within the material. The dielectric constant is the ratio of the material's permeability to the permeability of free space and determines the material's behavior in electric fields.
Derive the thermal-equilibrium concentrations of electrons and holes in a semiconductor as a function of the Fermi energy level.
Discuss the process by which the properties of a semiconductor material can be favorably altered by adding specific impurity atoms to the semiconductor.
Determine the thermal-equilibrium concentrations of electrons and holes in a semiconductor as a function of the concentration of dopant atoms added to the semiconductor.
Determine the position of the Fermi energy level as a function of the concentrations of dopant atoms added to the semiconductor.
Sergey seriy thomas fermi-dirac theorySergey Seriy
This document presents modern ab-initio calculations based on Thomas-Fermi-Dirac theory with quantum, correlation, and multishell corrections. It summarizes extensions made to the statistical model by including additional energy terms to account for quantum corrections, exchange energy, and correlation energy. This leads to a quantum- and correlation-corrected Thomas-Fermi-Dirac equation involving a density term, kinetic energy density term, and modified potential function. Solving this quartic equation in the electron density provides a way to determine the electron density distribution as a function of distance from the nucleus.
The document discusses the effective mass approximation in quantum mechanics. It begins by defining the effective mass as inversely proportional to the curvature of energy bands. Having a effective mass allows electrons in crystals to be treated similarly to classical particles, with the crystal forces and quantum properties accounted for in the mass. The effective mass can be a tensor and depends on the crystal direction. It then discusses measuring the effective mass using cyclotron resonance and how it varies by crystallographic direction. In general, the effective mass incorporates the quantum mechanical behavior of electrons in crystals to allow a classical particle treatment.
A free electron model is the simplest way to represent the
electronic structure and properties of metals.
According to this model, the valence electrons of the constituent
atoms of the crystal become conduction electrons and travel
freely throughout the crystal.
The classical theory fails to explain the heat capacity and the
magnetic susceptibility of the conduction electrons. (These are
not failures of the free electron model, but failures of the classical
Maxwell distribution function.)
Condensed matter is so transparent to conduction electrons
This document contains conceptual problems and their solutions related to solids and condensed matter physics.
The key points summarized are:
1) When copper and brass samples are cooled from 300K to 4K, copper's resistivity decreases more because brass' resistivity at 4K is mainly due to impurities like zinc ions, while pure copper has very low residual resistance.
2) As temperature increases, copper's resistivity increases while silicon's decreases because silicon's number of charge carriers increases with temperature.
3) Calculations are shown to determine the free electron density, Fermi energy, and other properties of gold using given values and equations relating these concepts.
4) Resistivity and mean
1) Electrons and holes are the charge carriers that conduct electricity in semiconductors. Electrons occupy available energy levels in the conduction band while holes occupy available energy levels in the valence band.
2) The Fermi level, Ef, describes the maximum energy that an electron in a semiconductor can have at absolute zero. It helps determine the concentration of electrons and holes.
3) At thermal equilibrium, the concentrations of electrons (n) and holes (p) in an intrinsic semiconductor are equal and depend on temperature. In an n-type semiconductor, n is greater than p and EF is closer to the conduction band.
Solid State Electronics.
this slide is made from taking help of
TextBook
Ben.G.StreetmanandSanjayBanerjee:SolidStateElectronicDevices,Prentice-HallofIndiaPrivateLimited.
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1) According to the free electron model, conduction electrons exist in metals that are not bound to individual atoms but are free to move throughout the crystal lattice.
2) The electrons occupy discrete quantum states that can be modeled as plane waves. The lowest energy state is filled first according to the Pauli exclusion principle.
3) Key properties of the free electron gas model include the Fermi energy (EF), Fermi temperature (TF), and Fermi momentum (kF) and sphere, which describe the highest occupied electron state at 0K.
The document discusses carrier concentrations in semiconductors. It defines intrinsic and extrinsic semiconductors and explains how doping modifies a semiconductor's conductivity. In intrinsic materials, electron and hole concentrations are equal and depend on temperature. Doping with donor or acceptor atoms introduces excess electrons or holes, making the material n-type or p-type. The Fermi level indicates occupation probability and depends on doping. Equations relate carrier concentrations to doping levels, intrinsic carrier concentration, and the Fermi-Dirac distribution function.
The fundamental theory of electromagnetic field is based on Maxwell.pdfinfo309708
The fundamental theory of electromagnetic field is based on Maxwell\'s equations. These
equations govern the electromagnetic fields, E, D, H, and there relations to the source, f and p_v.
In a source-free region, list the Maxwell\'s equations for time-harmonic fields: Given the Phaser
from of the electric field E? For the above given electric field, is B varying with time? Why?
Solution
Maxwell’s equations simplify considerably in the case of harmonic time dependence. Through
the inverse Fourier transform, general solutions of Maxwell’s equation can be built as linear
combinations of single-frequency solutions:† E(r, t)= E(r, )ejt d2 (1) Thus, we assume that all
fields have a time dependence ejt: E(r, t)= E(r)ejt, H(r, t)= H(r)ejt where the phasor amplitudes
E(r), H(r) are complex-valued. Replacing time derivatives by t j, we may rewrite Eq. in the
form:
× E = jB
× H = J + jD
· D =
· B = 0
(Maxwell’s equations) (2) In this book, we will consider the solutions of Eqs. (.2) in three
different contexts: (a) uniform plane waves propagating in dielectrics, conductors, and
birefringent media, (b) guided waves propagating in hollow waveguides, transmission lines, and
optical fibers, and (c) propagating waves generated by antennas and apertures
Next, we review some conventions regarding phasors and time averages. A realvalued sinusoid
has the complex phasor representation: A(t)= |A| cos(t + ) A(t)= Aejt (3) where A = |A|ej. Thus,
we have A(t)= Re A(t) = Re Aejt . The time averages of the quantities A(t) and A(t) over one
period T = 2/ are zero. The time average of the product of two harmonic quantities A(t)= Re Aejt
and B(t)= Re Bejt with phasors A, B is given by A(t)B(t) = 1T T0 A(t)B(t) dt = 12 Re AB] (4) In
particular, the mean-square value is given by: A2(t) = 1T T0 A2(t) dt = 12 Re AA]= 12|A|2 (5)
Some interesting time averages in electromagnetic wave problems are the time averages of the
energy density, the Poynting vector (energy flux), and the ohmic power losses per unit volume.
Using the definition) and the result (.4), we have for these time averages:
w = 1 2 Re 12E · E + 12H · H (energy density) P = 1/ 2 Re E × H (Poynting vector) dPloss dV =
1/ 2 Re Jtot · E (ohmic losses) (6) where Jtot = J + jD is the total current in the right-hand side of
Amp`ere’s law and accounts for both conducting and dielectric losses. The time-averaged
version of Poynting’s theorem is discussed in Problem 1.5. The expression (1.9.6) for the energy
density w was derived under the assumption that both and were constants independent of
frequency. In a dispersive medium, , become functions of frequency. In frequency bands where
(), () are essentially real-valued, that is, where the medium is lossless,that the timeaveraged
energy density generalizes to: w = 1/ 2 Re 1/2 d() d E · E + 1/2 d() d H · H (lossless case) (.7)
The derivation of (.7) is as follows. Starting with Maxwell’s equations (1.1.1) and without
assuming any particular constitutive relations, we obtain:.
The fundamental theory of electromagnetic field is based on Maxwell.pdfRBMADU
The fundamental theory of electromagnetic field is based on Maxwell\'s equations. These
equations govern the electromagnetic fields, E, D, H, and there relations to the source, f and p_v.
In a source-free region, list the Maxwell\'s equations for time-harmonic fields: Given the Phaser
from of the electric field E? For the above given electric field, is B varying with time? Why?
Solution
Maxwell’s equations simplify considerably in the case of harmonic time dependence. Through
the inverse Fourier transform, general solutions of Maxwell’s equation can be built as linear
combinations of single-frequency solutions:† E(r, t)= E(r, )ejt d2 (1) Thus, we assume that all
fields have a time dependence ejt: E(r, t)= E(r)ejt, H(r, t)= H(r)ejt where the phasor amplitudes
E(r), H(r) are complex-valued. Replacing time derivatives by t j, we may rewrite Eq. in the
form:
× E = jB
× H = J + jD
· D =
· B = 0
(Maxwell’s equations) (2) In this book, we will consider the solutions of Eqs. (.2) in three
different contexts: (a) uniform plane waves propagating in dielectrics, conductors, and
birefringent media, (b) guided waves propagating in hollow waveguides, transmission lines, and
optical fibers, and (c) propagating waves generated by antennas and apertures
Next, we review some conventions regarding phasors and time averages. A realvalued sinusoid
has the complex phasor representation: A(t)= |A| cos(t + ) A(t)= Aejt (3) where A = |A|ej. Thus,
we have A(t)= Re A(t) = Re Aejt . The time averages of the quantities A(t) and A(t) over one
period T = 2/ are zero. The time average of the product of two harmonic quantities A(t)= Re Aejt
and B(t)= Re Bejt with phasors A, B is given by A(t)B(t) = 1T T0 A(t)B(t) dt = 12 Re AB] (4) In
particular, the mean-square value is given by: A2(t) = 1T T0 A2(t) dt = 12 Re AA]= 12|A|2 (5)
Some interesting time averages in electromagnetic wave problems are the time averages of the
energy density, the Poynting vector (energy flux), and the ohmic power losses per unit volume.
Using the definition) and the result (.4), we have for these time averages:
w = 1 2 Re 12E · E + 12H · H (energy density) P = 1/ 2 Re E × H (Poynting vector) dPloss dV =
1/ 2 Re Jtot · E (ohmic losses) (6) where Jtot = J + jD is the total current in the right-hand side of
Amp`ere’s law and accounts for both conducting and dielectric losses. The time-averaged
version of Poynting’s theorem is discussed in Problem 1.5. The expression (1.9.6) for the energy
density w was derived under the assumption that both and were constants independent of
frequency. In a dispersive medium, , become functions of frequency. In frequency bands where
(), () are essentially real-valued, that is, where the medium is lossless,that the timeaveraged
energy density generalizes to: w = 1/ 2 Re 1/2 d() d E · E + 1/2 d() d H · H (lossless case) (.7)
The derivation of (.7) is as follows. Starting with Maxwell’s equations (1.1.1) and without
assuming any particular constitutive relations, we obtain:.
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The Semiconductor in Equilibrium
1. The Semiconductor in Equilibrium
Tewodros Adaro
January 31, 2022
Tewodros Adaro The Semiconductor in Equilibrium
2. Introduction
4. The Semiconductor in Equilibrium
This chapter deals with the semiconductor in equilibrium.
Equilibrium, or thermal equilibrium, implies that no external
forces such as voltages, electric fields, magnetic fields, or
temperature gradients are acting on the semiconductor.
All properties of the semiconductor will be independent of
time in this case.
Tewodros Adaro The Semiconductor in Equilibrium
3. CHARGE CARRIERS IN SEMICONDUCTORS
4.1. CHARGE CARRIERS IN SEMICONDUCTORS
In a semiconductor two types of charge carrier, the electron
and the hole, can contribute to a current.
Since the current in a semiconductor is determined largely by
the number of electrons in the conduction band and the
number of holes in the valence band, an important
characteristic of the semiconductor is the density of these
charge carriers.
The density of electrons and holes is related to the density of
states function and the Fermi distribution function.
Tewodros Adaro The Semiconductor in Equilibrium
4. Equilibrium Distribution of Electrons and Holes
4.1.1. Equilibrium Distribution of Electrons and Holes
The distribution (with respect to energy) of electrons in the
conduction band is given by the density of allowed quantum
states times the probability that a state is occupied by an
electron. This statement is written in equation form as
n(E) = gc(E)fF (E) (1)
where fF (E) is the Fermi–Dirac probability function and gc(E
is the density of quantum states in the conduction band. The
total electron concentration per unit volume in the conduction
band is then found by integrating Equation(1) over the entire
conduction-band energy.
Tewodros Adaro The Semiconductor in Equilibrium
5. Equilibrium Distribution of Electrons and Holes
Similarly, the distribution (with respect to energy) of holes in
the valence band is the density of allowed quantum states in
the valence band multiplied by the probability that a state is
not occupied by an electron. We may express this as
p(E) = gv (E)[1 − fF (E)] (2)
The total hole concentration per unit volume is found by
integrating this function over the entire valence-band energy.
Tewodros Adaro The Semiconductor in Equilibrium
6. Equilibrium Distribution of Electrons and Holes
To find the thermal-equilibrium electron and hole
concentrations, we need to determine the position of the Fermi
energy EF with respect to the bottom of the conduction-band
energy Ec and the top of the valence-band energy Ev .
For an intrinsic semiconductor at T = 0K, all energy states in
the valence band are filled with electrons and all energy states
in the conduction band are empty of electrons.
The Fermi energy must, therefore, be somewhere between Ec
and Ev .
Tewodros Adaro The Semiconductor in Equilibrium
7. Equilibrium Distribution of Electrons and Holes
As the temperature begins to increase above 0 K, the valence
electrons will gain thermal energy.
A few electrons in the valence band may gain sufficient energy
to jump to the conduction band.
As an electron jumps from the valence band to the conduction
band, an empty state, or hole, is created in the valence band.
In an intrinsic semiconductor, then, electrons and holes are
created in pairs by the thermal energy so that the number of
electrons in the conduction band is equal to the number of
holes in the valence band.
Tewodros Adaro The Semiconductor in Equilibrium
8. Equilibrium Distribution of Electrons and Holes
Figure: (a) Density of states functions, Fermi–Dirac probability function,
and areas representing electron and hole concentrations for the case when
EF is near the midgap energy; (b) expanded view near the
conduction-band energy; and (c) expanded view near the valence-band
energy.
Tewodros Adaro The Semiconductor in Equilibrium
9. Thermal-Equilibrium Electron Concentration
The equation for the thermal-equilibrium concentration of
electrons may be found by integrating Equation (1) over the
conduction band energy, or
n0 =
Z
gc(E)fF (E)dE (3)
The lower limit of integration is Ec and the upper limit of
integration should be the top of the allowed conduction band
energy. However, since the Fermi probability function rapidly
approaches zero with increasing energy as indicated in Figure
4.1a, we can take the upper limit of integration to be infinity.
Tewodros Adaro The Semiconductor in Equilibrium
10. Thermal-Equilibrium Electron Concentration
We are assuming that the Fermi energy is within the
forbidden-energy band-gap. For electrons in the conduction
band, we have E > Ec . If (Ec − EF ) kT, then
(E − EF ) kT, so that the Fermi probability function reduces
to the Boltzmann approximation,which is
fE (E) =
1
1 + exp[
(E − EF )
kT
]
≈ exp[
−(E − EF )
kT
] (4)
Applying the Boltzmann approximation to Equation (3), the
thermal-equilibrium density of electrons in the conduction
band is found from
Tewodros Adaro The Semiconductor in Equilibrium
11. Thermal-Equilibrium Electron Concentration
n0 =
Z ∞
Ec
4π(2m∗
n)3/2
h3
p
E − Ecexp[
−(E − EF )
kT
]dE (5)
The integral of Equation (5) may be solved more easily by making
a change of variable. If we let
η =
(E − Ec)
kT
(6)
then Equation (5) becomes
n0 =
4π(2m∗
nkT)3/2
h3
{exp[
−(Ec − EF )
kT
]}{
Z ∞
0
η1/2
exp(−η)dη}
(7)
Tewodros Adaro The Semiconductor in Equilibrium
12. Thermal-Equilibrium Electron Concentration
The integral is the gamma function, with a value of
Z ∞
0
η1/2
exp(−η)dη =
1
2
√
π (8)
Then Equation (4.7) becomes
n0 = 2(
2πm∗
nkT
h2
)3/2
exp[
−(Ec − EF )
kT
] (9)
We may define a parameterNc as
Nc = 2(
2πm∗
nkT
h2
)3/2
(10)
Tewodros Adaro The Semiconductor in Equilibrium
13. Thermal-Equilibrium Electron Concentration
The parameter m∗
n is the density of states effective mass of
the electron.
The thermal- equilibrium electron concentration in the
conduction band can be written as
n0 = Ncexp[
−(Ec − EF )
kT
] (11)
The parameter Nc is called the effective density of states function
in the conduction band.
If we were to assume thatm∗
n = m0 , then the value of the
effective density of states function at T = 300 K is
Nc = 2.5 × 1019cm−3 , which is the order of magnitude of Nc
for most semiconductors.
If the effective mass of the electron is larger or smaller than
m0, then the value of the effective density of states function
changes accordingly, but is still of the same order of
magnitude.
Tewodros Adaro The Semiconductor in Equilibrium
14. Thermal-Equilibrium Hole Concentration
The thermal-equilibrium concentration of holes in the valence
band is found by integrating Equation (2) over the valence
band energy, or
p0 =
Z
gv (E)[1 − fF (E)]dE (12)
We may note that
1 − fE (E) =
1
1 + exp[
(EF − E)
kT
]
(13)
For energy states in the valence band, E Ev . If
(EF − Ev ) kT (the Fermi function is still assumed to be
within the bandgap), then we have a slightly different form of
the Boltzmann approximation.
Tewodros Adaro The Semiconductor in Equilibrium
15. Thermal-Equilibrium Hole Concentration
Equation (4.13a) may be written as
1 − fE (E) =
1
1 + exp[
(EF − E)
kT
]
≈ exp[
−(EF − E)
kT
] (14)
Applying the Boltzmann approximation of Equation (14) to
Equation (12), we find the thermal-equilibrium concentration
of holes in the valence band is
p0 =
Z Ev
−∞
4π(2m∗
p)3/2
h3
p
Ev − Eexp[
−(EF − E)
kT
]dE (15)
where the lower limit of integration is taken as minus infinity
instead of the bottom of the valence band. The exponential
term decays fast enough so that this approximation is valid.
Tewodros Adaro The Semiconductor in Equilibrium
16. Thermal-Equilibrium Hole Concentration
If we let
η
0
=
(Ev − E)
kT
(16)
then Equation (4.14) becomes
p0 =
−4π(2m∗
pkT)3/2
h3
exp[
−(EF − Ev )
kT
]
Z 0
+∞
(η
0
)1/2
exp(−η
0
)dη
0
(17)
Equation (4.16) becomes
p0 = 2(
2πm∗
pkT
h2
)3/2
exp[
−(EF − Ev )
kT
] (18)
Tewodros Adaro The Semiconductor in Equilibrium
17. Thermal-Equilibrium Hole Concentration
We may define a parameterNc as
Nv = 2(
2πm∗
pkT
h2
)3/2
(19)
which is called the effective density of states function in the
valence band. The parameter m∗
p is the density of states
effective mass of the hole. The thermal-equilibrium
concentration of holes in the valence band may now be
written as
p0 = Nv exp[
−(EF − Ev )
kT
] (20)
The magnitude of Nv is also on the order of 1019cm−3 at
T=300 K for most semiconductors.
Tewodros Adaro The Semiconductor in Equilibrium
18. Thermal-Equilibrium Hole Concentration
The effective density of states functions, Nc and Nv , are
constant for a given semiconductor material at a fixed
temperature.
Table 1 gives the values of the density of states function and
of the density of states effective masses for silicon, gallium
arsenide, and germanium.
Note that the value of Nc for gallium arsenide is smaller than
the typical 1019cm−3 value. This difference is due to the small
electron effective mass in gallium arsenide.
The thermal-equilibrium concentrations of electrons in the
conduction band and of holes in the valence band are directly
related to the effective density of states constants and to the
Fermi energy level.
Tewodros Adaro The Semiconductor in Equilibrium
19. Thermal-Equilibrium Hole Concentration
Nc(cm−3) Nv (cm−3)
m∗
n
m0
m∗
p
m0
Silicon 2.8 × 1019 1.04 × 1019 1.08 0.56
Gallium arsenide 4.7 × 1017 7.0 × 1019 0.067 0.48
Germanium 1.04 × 1019 6.0 × 1019 0.55 0.37
Table: Effective density of states function and density of states effective
mass values
Tewodros Adaro The Semiconductor in Equilibrium
20. The Intrinsic Carrier Concentration
The Intrinsic Carrier Concentration
For an intrinsic semiconductor, the concentration of electrons
in the conduction band is equal to the concentration of holes
in the valence band.
We may denote ni and pi as the electron and hole
concentrations, respectively, in the intrinsic semiconductor.
These parameters are usually referred to as the intrinsic
electron concentration and intrinsic hole concentration.
However,ni = pi , so normally we simply use the parameter ni
as the intrinsic carrier concentration, which refers to either the
intrinsic electron or hole concentration.
Tewodros Adaro The Semiconductor in Equilibrium
21. The Intrinsic Carrier Concentration
The Fermi energy level for the intrinsic semiconductor is called
the intrinsic Fermi energy, or EF = EFi . If we apply Equations
(11) and (20) to the intrinsic semiconductor, then we can
write
n0 = ni = Ncexp[
−(Ec − EFi )
kT
] (21)
and
p0 = pi = ni = Nv exp[
−(EFi − Ev )
kT
] (22)
Tewodros Adaro The Semiconductor in Equilibrium
22. The Intrinsic Carrier Concentration
If we take the product of Equations (21) and (22), we obtain
n2
i = NcNv exp[
−(Ec − EFi )
kT
]exp[
−(EFi − Ev )
kT
] (23)
or
n2
i = NcNv exp[
−(Ec − Ev )
kT
] = NcNv exp[
−Eg
kT
] (24)
where Eg is the bandgap energy.
For a given semiconductor material at a constant
temperature, the value of ni is a constant, and independent of
the Fermi energy.
Tewodros Adaro The Semiconductor in Equilibrium
23. The Intrinsic Carrier Concentration
The intrinsic carrier concentration is a very strong function of
temperature.
Table 2 lists the commonly accepted values of ni for silicon,
gallium arsenide, and germanium at T =300 K.
ni (cm−3)
Silicon 1.5 × 1010
Gallium arsenide 1.6 × 106
Germanium 2.4 × 1013
Table: Commonly accepted values of ni at T =300 K
Tewodros Adaro The Semiconductor in Equilibrium
24. The Intrinsic Carrier Concentration
Figure 2 is a plot of ni from Equation (24) for silicon, gallium
arsenide, and germanium as a function of temperature.
As seen in the figure, the value of ni for these semiconductors
may easily vary over several orders of magnitude as the
temperature changes over a reasonable range.
Tewodros Adaro The Semiconductor in Equilibrium
25. The Intrinsic Carrier Concentration
Figure: The intrinsic carrier concentration of Ge, Si, and GaAs as a
function of temperature
Tewodros Adaro The Semiconductor in Equilibrium
26. The Intrinsic Fermi-Level Position
The Intrinsic Fermi-Level Position
We can specifically calculate the intrinsic Fermi-level position.
Since the electron and hole concentrations are equal, setting
Equations (21) and (22) equal to each other, we have
Ncexp[
−(Ec − EFi )
kT
] = Nv exp[
−(EFi − Ev )
kT
] (25)
If we take the natural log of both sides of this equation and solve
for EFi , we obtain
EFi =
1
2
(Ec + Ev ) +
1
2
KTln(
Nv
Nc
) (26)
Tewodros Adaro The Semiconductor in Equilibrium
27. The Intrinsic Fermi-Level Position
From the definitions for Nc and Nv given by Equations (10) and
(19), respectively, Equation (26) may be written as
EFi =
1
2
(Ec + Ev ) +
3
4
KTln(
m∗
p
m∗
n
) (27)
The first term,
1
2
(Ec + Ev ), is the energy exactly midway between
Ec and Ev , or the midgap energy. We can define
1
2
(Ec + Ev ) = Emidgap (28)
so that
EFi − Emidgap =
3
4
KTln(
m∗
p
m∗
n
) (29)
Tewodros Adaro The Semiconductor in Equilibrium
28. The Intrinsic Fermi-Level Position
If the electron and hole effective masses are equal so that
m∗
p = m∗
n, then the intrinsic Fermi level is exactly in the center
of the bandgap.
If m∗
p m∗
n , the intrinsic Fermi level is slightly above the
center, and
ifm∗
p m∗
n , it is slightly below the center of the bandgap.
The density of states function is directly related to the carrier
effective mass; thus, a larger effective mass means a larger
density of states function.
The intrinsic Fermi level must shift away from the band with
the larger density of states in order to maintain equal numbers
of electrons and holes.
Tewodros Adaro The Semiconductor in Equilibrium
29. THE EXTRINSIC SEMICONDUCTOR
An extrinsic semiconductor is a semiconductor in which
controlled amounts of specific dopant or impurity atoms have
been added so that the thermal-equilibrium electron and hole
concentrations are different from the intrinsic carrier
concentration.
One type of carrier will predominate in an extrinsic
semiconductor.
Tewodros Adaro The Semiconductor in Equilibrium
30. Equilibrium Distribution of Electrons and Holes
Adding donor or acceptor impurity atoms to a semiconductor
will change the distribution of electrons and holes in the
material.
Since the Fermi energy is related to the distribution function,
the Fermi energy will change as dopant atoms are added.
If the Fermi energy changes from near the midgap value, the
density of electrons in the conduction band and the density of
holes in the valence band will change.
Tewodros Adaro The Semiconductor in Equilibrium
32. Equilibrium Distribution of Electrons and Holes
In an n-type semiconductor, wheren0 p0 electrons are
referred to as the majority carrier and holes as the minority
carrier.
Similarly, in a p-type semiconductor where p0 n0 , holes are
the majority carrier and electrons are the minority carrier.
Tewodros Adaro The Semiconductor in Equilibrium
33. Equilibrium Distribution of Electrons and Holes
When EF EFi , the electron concentration is larger than the
hole concentration, and
when EF EFi , the hole concentration is larger than the
electron concentration.
When the density of electrons is greater than the density of
holes, the semiconductor is n type; donor impurity atoms have
been added.
When the density of holes is greater than the density of
electrons, the semiconductor is p type; acceptor impurity
atoms have been added.
The Fermi energy level in a semiconductor changes as the
electron and hole concentrations change and, again, the Fermi
energy changes as donor or acceptor impurities are added.
Tewodros Adaro The Semiconductor in Equilibrium
34. Equilibrium Distribution of Electrons and Holes
The thermal-equilibrium electron concentration can be written as
no = ni exp
EF − EFi
KT
(30)
The thermal-equilibrium hole concentration can be written as
po = ni exp
−(EF − EFi )
KT
(31)
where ni = NC exp
−(Ec − EFi )
KT
is the intrinsic carrier
concentration
Tewodros Adaro The Semiconductor in Equilibrium
35. Equilibrium Distribution of Electrons and Holes
If EF EFi , then we will have n0 ni and p0 ni . One
characteristic of an n-type semiconductor is that EF EFi so
that n0 p0.
Similarly, in a p-type semiconductor, EF EFi so that p0 ni
and n0 ni ; thus, p0 n0 .
Tewodros Adaro The Semiconductor in Equilibrium
36. The n0p0 Product
We may take the product of the general expressions for n0and
p0as given in Equations (4.11) and (4.20), respectively. The
result is
n0p0 = NcNv exp
−(Ec − EF )
KT
exp
−(EF − EV )
KT
(32)
which may be written as
n0p0 = NcNv exp
−Eg
KT
(33)
Tewodros Adaro The Semiconductor in Equilibrium
37. The n0p0 Product
As Equation (4.33) was derived for a general value of Fermi
energy, the values of n0 and p0 are not necessarily equal.
However, Equation (4.42) is exactly the same as Equation
(4.34), which we derived for the case of an intrinsic
semiconductor.
We then have that, for the semiconductor in thermal
equilibrium,
n0p0 = n2
i (34)
Equation (4.34) states that the product of n0 and p0 is always
a constant for a given semiconductor material at a given
temperature.
Tewodros Adaro The Semiconductor in Equilibrium
38. POSITION OF FERMI ENERGY LEVEL
The position of the Fermi energy level within the bandgap can
be determined by using the equations already developed for
the thermal-equilibrium electron and hole concentrations. If
we assume the Boltzmann approximation to be valid, then
from Equa tion (4.11) we haven0 = Nc exp
−(Ec − EF )
KT
. We
can solve for Ec − EF from this equation and obtain
Ec − EF = KTln(
Nc
n0
) (35)
If we consider an n-type semiconductor in which Nd ni ,
then n0 ≈ Nd , so that
Ec − EF = KTln(
Nc
Nd
) (36)
Tewodros Adaro The Semiconductor in Equilibrium
39. POSITION OF FERMI ENERGY LEVEL
The distance between the bottom of the conduction band and
the Fermi energy is a logarithmic function of the donor
concentration.
As the donor concentration increases, the Fermi level moves
closer to the conduction band.
Conversely, if the Fermi level moves closer to the conduction
band, then the electron concentration in the conduction band
is increasing.
Tewodros Adaro The Semiconductor in Equilibrium
40. POSITION OF FERMI ENERGY LEVEL
We may develop a slightly different expression for the position
of the Fermi level.We had n0 = ni exp
(EF − EFi )
KT
. We can
solve for EF − EFi from this equation and obtain
EF − EFi = KTln(
n0
ni
) (37)
Equation (4.37) can be used specifically for an n-type
semiconductor to find the difference between the Fermi level
and the intrinsic Fermi level as a function of the donor
concentration.
Tewodros Adaro The Semiconductor in Equilibrium
41. POSITION OF FERMI ENERGY LEVEL
We can derive the same types of equations for a p-type
semiconductor.
EF − Ev = KTln(
Nv
p0
) (38)
If we consider a p-type semiconductor in which Na ni ,
then p0 ≈ Na , so that
EF − Ev = KTln(
Nv
Na
) (39)
similarly,
EFi − EF = KTln(
p0
ni
) (40)
Tewodros Adaro The Semiconductor in Equilibrium
42. POSITION OF FERMI ENERGY LEVEL
For a n-type semiconductor, n0 ni and EF EFi . The
Fermi level for an n-type semiconductor is above EFi .
For a p-type semiconductor, p0 ni ,we see that EFi EF .
The Fermi level for a p-type semiconductor is below EFi .
Tewodros Adaro The Semiconductor in Equilibrium