The document discusses the pn junction diode. It describes the ideal current-voltage relationship of a pn junction diode. When a forward bias is applied, it lowers the potential barrier and allows electrons from the n-region and holes from the p-region to be injected across the depletion region, becoming minority carriers. This creates an excess minority carrier concentration that diffuses away from the junction and recombines. The current is calculated from the minority carrier diffusion currents at the edges of the depletion region. The total current is expressed as a function of the applied voltage and follows an exponential relationship.
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.
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
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.
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
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
The presentation explains working of pn junction diode, V-I characteristics, breakdown mechanism, ac and dc resistance, diode capacitance, effect of temperature and equivalent circuit. It also covers special diodes, LED, Varicap diodes, Tunnel diode, and working of LCD
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
This article gives a vivid description of the principle and working procedure of a Light Emitting Diode. It provides a comprehensive understanding of how this very important optical device is useful in our daily applications, its types, structure and other related information.
II. Charge transport and nanoelectronics.
Quantum Hall Effect: 2D electron gas (2DEG) in magnetic field, Landau levels, de Haas-van Alphen and Shubnikov-de Haas Effects, integer and fractional quantum Hall effects, Spin Hall Effect.
Quantum transport: Transport regimes and mesoscopic quantum transport, Scattering theory of conductance and Landauer-Buttiker formalism, Quantum point contacts, Quantum electronics and selected examples of mesoscopic devices (quantum interference devices).
Tunneling: Scanning tunneling microscopy and spectroscopy (and wavefunction mapping in nanostructures and molecules), Nanoelectronic devices based on tunneling, Coulomb blockade, Single electron transistors, Kondo effect.
Molecular electronics: Donor-Acceptor systems, Nanoscale charge transfer, Electronic properties and transport in molecules and biomolecules; single molecule transistors.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
The presentation explains working of pn junction diode, V-I characteristics, breakdown mechanism, ac and dc resistance, diode capacitance, effect of temperature and equivalent circuit. It also covers special diodes, LED, Varicap diodes, Tunnel diode, and working of LCD
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
This article gives a vivid description of the principle and working procedure of a Light Emitting Diode. It provides a comprehensive understanding of how this very important optical device is useful in our daily applications, its types, structure and other related information.
II. Charge transport and nanoelectronics.
Quantum Hall Effect: 2D electron gas (2DEG) in magnetic field, Landau levels, de Haas-van Alphen and Shubnikov-de Haas Effects, integer and fractional quantum Hall effects, Spin Hall Effect.
Quantum transport: Transport regimes and mesoscopic quantum transport, Scattering theory of conductance and Landauer-Buttiker formalism, Quantum point contacts, Quantum electronics and selected examples of mesoscopic devices (quantum interference devices).
Tunneling: Scanning tunneling microscopy and spectroscopy (and wavefunction mapping in nanostructures and molecules), Nanoelectronic devices based on tunneling, Coulomb blockade, Single electron transistors, Kondo effect.
Molecular electronics: Donor-Acceptor systems, Nanoscale charge transfer, Electronic properties and transport in molecules and biomolecules; single molecule transistors.
Investigation of Steady-State Carrier Distribution in CNT Porins in Neuronal ...Kyle Poe
In this work, the carrier distribution of a carbon nanotube inserted into the spinal ganglion neuronal membrane is examined. After primary characterization based on previous work, the nanotube is approximated as a one-dimensional system, and the Poisson and Schrödinger equations are solved using an iterative finite-difference scheme. It was found that carriers aggregate near the center of the tube, with a negative carrier density of ⟨ρn⟩ = 7.89 × 10^13 cm−3 and positive carrier density of ⟨ρp⟩ = 3.85 × 10^13 cm−3. In future work, the erratic behavior of convergence will be investigated.
1 ECE 6340 Fall 2013 Homework 8 Assignment.docxjoyjonna282
1
ECE 6340
Fall 2013
Homework 8
Assignment: Please do Probs. 1-9 and 13 from the set below.
1) In dynamics, we have the equation
E j Aω= − −∇Φ .
(a) Show that in statics, the scalar potential function Φ can be interpreted as a voltage
function. That is, show that in statics
( ) ( )
B
AB
A
V E dr A B≡ ⋅ = Φ −Φ∫ .
(b) Next, explain why this equation is not true (in general) in dynamics.
(c) Explain why the voltage drop (defined as the line integral of the electric field, as
defined above) depends on the path from A to B in dynamics, using Faraday’s law.
(d) Does the right-hand side of the above equation (the difference in the potential
function) depend on the path, in dynamics?
Hint: Note that, according to calculus, for any function ψ we have
dr dx dy dz d
x y z
ψ ψ ψ
ψ ψ
∂ ∂ ∂
∇ ⋅ = + + =
∂ ∂ ∂
.
2) Starting with Maxwell’s equations, show that the electric field radiated by an impressed
current density source J i in an infinite homogeneous region satisfies the equation
( )2 2 iE k E E j Jωµ∇ + = ∇ ∇⋅ + .
Then use Ampere’s law (or, if you prefer, the continuity equation and the electric Gauss
law) to show that this equation may be written as
( )2 2 1 i iE k E J j J
j
ωµ
σ ωε
∇ + = − ∇ ∇⋅ +
+
.
2
Note that the total current density is the sum of the impressed current density and the
conduction current density, the latter obeying Ohm’s law (J c = σE).
Explain why this equation for the electric field would be harder to solve than the equation
that was derived in class for the magnetic vector potential.
3) Show that magnetic field radiated by an impressed current density source satisfies the
equation
2 2 iH k H J∇ + = −∇× .
Explain why this equation for the magnetic field would be harder to solve than the
equation that was derived in class for the magnetic vector potential.
4) Show that in a homogenous region of space the scalar electric potential satisfies the
equation
2 2
i
v
c
k
ρ
ε
∇ Φ + Φ = − ,
where ivρ is the impressed (source) charge density, which is the charge density that goes
along with the impressed current density, being related by
i ivJ jωρ∇⋅ = −
Hint: Start with E j Aω= − −∇Φ and take the divergence of both sides. Also, take the
divergence of both sides of Ampere’s law and use the continuity equation for the
impressed current (given above) to show that
1 ii v
c c
E J
j
ρ
ωε ε
∇⋅ = − ∇⋅ = .
Note: It is also true from the electric Gauss law that
vE
ρ
ε
∇⋅ = ,
but we prefer to have only an impressed (source) charge density on the right-hand side of
the equation for the potential Φ. In the time-harmonic steady state, assuming a
homogeneous and isotropic region, it follows that ρv = ρvi. That is, there is no charge
3
density arising from the conduction current. (If there were no impressed current sources,
the total charge density would therefore be ze ...
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
insect taxonomy importance systematics and classification
The pn Junction Diode
1. The pn Junction Diode
Tewodros Adaro
February 2, 2022
Tewodros Adaro The pn Junction Diode
2. The pn Junction Diode
Qualitative Description of Charge Flow in a pn Junction
Tewodros Adaro The pn Junction Diode
3. Ideal Current–Voltage Relationship
The ideal current–voltage relationship of a pn junction is derived
on the basis of four assumptions.
1. The abrupt depletion layer approximation applies. The
space charge regions have abrupt boundaries, and the
semiconductor is neutral outside of the depletion region.
2. The Maxwell–Boltzmann approximation applies to carrier
statistics.
3. The concepts of low injection and complete ionization
apply.
4a. The total current is a constant throughout the entire pn
structure.
4b. The individual electron and hole currents are continuous
functions through the pn structure.
4c. The individual electron and hole currents are constant
throughout the depletion region.
Tewodros Adaro The pn Junction Diode
5. Boundary Conditions
Figure 8.2 shows the conduction-band energy through the pn
junction in thermal equilibrium.
The n region contains many more electrons in the conduction
band than the p region;
the built-in potential barrier prevents this large density of
electrons from flowing into the p region.
The built-in potential barrier maintains equilibrium between
the carrier distributions on either side of the junction.
An expression for the built-in potential barrier is given by
Vbi = Vtln(
NaNd
n2
i
) (1)
where Vt = kT/e and rearranging equation 8.1
Tewodros Adaro The pn Junction Diode
6. Boundary Conditions
n2
i
NaNd
= exp
−eVbi
kT
(2)
If we assume complete ionization, we can write
nn0 ≈ Nd (3)
where nn0 is the thermal-equilibrium concentration of majority
carrier electrons in the n region.
Tewodros Adaro The pn Junction Diode
7. Boundary Conditions
In the p region, we can write
np0 ≈
n2
i
Na
(4)
where np0 is the thermal-equilibrium concentration of minority
carrier electrons.
Substituting Equations (3) and (4) into Equation (2), we
obtain
np0 = nn0 exp
−eVbi
kT
(5)
This equation relates the minority carrier electron
concentration on the p side of the junction to the majority
carrier electron concentration on the n side of the junction in
thermal equilibrium.
Tewodros Adaro The pn Junction Diode
9. Boundary Conditions
If a positive voltage is applied to the p region with respect to
the n region, the potential barrier is reduced. Figure 8.3a
shows a pn junction with an applied voltage Va.
The electric field in the bulk p and n regions is normally very
small.
Essentially all of the applied voltage is across the junction
region.
The electric field Eapp induced by the applied voltage is in the
opposite direction to the thermal-equilibrium space charge
electric field, so the net electric field in the space charge
region is reduced below the equilibrium value.
The delicate balance between diffusion and the E-field force
achieved at thermal equilibrium is upset.
Tewodros Adaro The pn Junction Diode
10. Boundary Conditions
The electric field force that prevented majority carriers from
crossing the space charge region is reduced;
majority carrier electrons from the n side are now injected
across the depletion region into the p material, and
majority carrier holes from the p side are injected across the
depletion region into the n material.
As long as the biasVa is applied, the injection of carriers
across the space charge region continues and a current is
created in the pn junction.
This bias condition is known as forward bias; the energy-band
diagram of the forward- biased pn junction is shown in Figure
8.3b.
Tewodros Adaro The pn Junction Diode
11. Boundary Conditions
The potential barrier Vbi in Equation (5) can be replaced by
(Vbi − Va ) when the junction is forward biased. Equation
(8.4) becomes
np = nn0 exp
−e(Vbi − Va
kT
) = nn0 exp
−eVbi
kT
exp
+eVa
kT
(6)
If we assume low injection, the majority carrier electron
concentration nn0, for example, does not change significantly.
However, the minority carrier concentration, np, can deviate
from its thermal-equilibrium value np0 by orders of magnitude.
Using Equation (5), we can write Equation (6) as
np = np0 exp
eVa
kT
(7)
Tewodros Adaro The pn Junction Diode
12. Boundary Conditions
When a forward-bias voltage is applied to the pn junction, the
junction is no longer in thermal equilibrium.
The left side of Equation (7) is the total minority carrier
electron concentration in the p region, which is now greater
than the thermal equilibrium value.
The forward-bias voltage lowers the potential barrier so that
majority carrier electrons from the n region are injected across
the junction into the p region, thereby increasing the minority
carrier electron concentration.
Equation (7), then, is the expression for the minority carrier
electron concentration at the edge of the space charge region
in the p region.
Tewodros Adaro The pn Junction Diode
13. Boundary Conditions
Exactly the same process occurs for majority carrier holes in
the p region, which are injected across the space charge region
into the n region under a forward-bias voltage. We can write
that
pn = pn0 exp
eVa
kT
(8)
where pn is the concentration of minority carrier holes at the
edge of the space charge region in the n region.
Figure 8.4 shows these results. By applying a forward-bias
voltage, we create excess minority carriers in each region of
the pn junction.
Tewodros Adaro The pn Junction Diode
15. Minority Carrier Distribution
Minority Carrier Distribution
The ambipolar transport equation for excess minority carrier
holes in an n region. This equation, in one dimension, is
Dp
∂2(δpn)
∂x2
− µpE
∂(δpn)
∂x
+ g
0
−
δpn
τp0
=
∂(δpn)
∂t
(9)
where δpn = pn − pn0 is the excess minority carrier hole
concentration and is the difference between the total and
thermal equilibrium minority carrier concentrations.
Tewodros Adaro The pn Junction Diode
16. Minority Carrier Distribution
The ambipolar transport equation describes the behavior of
excess carriers as a function of time and spatial coordinates.
As a first approximation, we assume that the electric field is
zero in both the neutral p and n regions.
In the n region for x > xn , we have that E = 0 and g = 0.
If we also assume steady state so
∂(δpn)
∂t
, then Equation (9)
reduces to
Tewodros Adaro The pn Junction Diode
17. Minority Carrier Distribution
d2(δpn)
dx2
−
δpn
L2
p
= 0(x > xn) (10)
where L2
p = Dpτp0.For the same set of conditions, the excess
minority carrier electron concentration in the p region is
determined from
d2(δnp)
dx2
−
δnp
L2
n
= 0(x < xp) (11)
where L2
n = Dnτn0
Tewodros Adaro The pn Junction Diode
18. Minority Carrier Distribution
The boundary conditions for the total minority carrier
concentrations are
pn(xn) = pn0 exp
eVa
kT
(12)
np(−xp) = np0 exp
eVa
kT
(13)
pn(x → +∞) = pn0 (14)
np(x → −∞) = np0 (15)
As minority carriers diffuse from the space charge edge into
the neutral semiconductor regions, they recombine with
majority carriers.
We assume that the lengths W n and W p shown in Figure
8.3a are very long, meaning in particular that Wn >> Lp and
Wp >> Ln.
Tewodros Adaro The pn Junction Diode
19. Minority Carrier Distribution
The excess minority carrier concentrations must approach zero
at distances far from the space charge region.
The structure is referred to as a long pn junction. The general
solution to Equation (10 and 11 ) are
δpn(x) = pn − pn0 = Aex/Lp
+ Be−x/Lp
(x ≥ xn) (16)
δnp(x) = np − np0 = Cex/Ln
+ De−x/Ln
(x ≤ −xp) (17)
The excess carrier concentrations are then found to be, for
(x ≥ xn)
δpn(x) = pn − pn0 = pn0[exp
eVa
kT
− 1] exp
xn − x
Lp
(18)
and, for x ≤ −xp),
δnp(x) = np − np0 = np0[exp
eVa
kT
− 1] exp
xp + x
Ln
(19)
Tewodros Adaro The pn Junction Diode
21. Minority Carrier Distribution
The minority carrier concentrations decay exponentially with
distance away from the junction to their thermal-equilibrium
values. Figure 8.5 shows these results.
Tewodros Adaro The pn Junction Diode
22. Minority Carrier Distribution
Since excess electrons exist in the neutral p region and excess
holes exist in the neutral n region, we can apply quasi-Fermi
levels to these regions.
We had defined quasi-Fermi levels in terms of carrier
concentrations as
p = p0 + δp = ni exp (
EFi − EFp
kT
) (20)
and
n = n0 + δn = ni exp (
EFn − EFi
kT
) (21)
The carrier concentrations are exponential functions of the
quasi-Fermi levels.
The quasi-Fermi levels are then linear functions of distance in
the neutral p and n regions as shown in Figure 8.6.
Tewodros Adaro The pn Junction Diode
23. Minority Carrier Distribution
We may note that close to the space charge edge in the p
region, EFn − EFi > 0 which means that δn > ni .
Further from the space charge edge, EFn − EFi < 0 which
means that δn < ni and the excess electron concentration is
approaching zero.
The same discussion applies to the excess hole concentration
in the n region.
Tewodros Adaro The pn Junction Diode
24. Minority Carrier Distribution
At the space charge edge at x = xn , we can write, for low
injection
n0pn(xn) = n0pn0 exp (
Va
Vt
) = n2
i exp (
Va
Vt
) (22)
Combining Equations (18) and (19), we can write
np = n2
i exp (
EFn − EFp
kT
) (23)
Comparing Equations (20) and (21), the difference in
quasi-Fermi levels is related to the applied bias Va and
represents the deviation from thermal equilibrium.The
difference between EFn and EFp is nearly constant through the
depletion region.
Tewodros Adaro The pn Junction Diode
25. Minority Carrier Distribution
A forward-bias voltage lowers the built-in potential barrier of a
pn junction so that electrons from the n region are injected
across the space charge region, creating excess minority
carriers in the p region.
These excess electrons begin diffusing into the bulk p region
where they can recombine with majority carrier holes.
The excess minority carrier electron concentration then
decreases with distance from the junction.
The same discussion applies to holes injected across the space
charge region into the n region.
Tewodros Adaro The pn Junction Diode
26. Ideal pn Junction Current
The total current in the junction is the sum of the individual
electron and hole currents that are constant through the
depletion region.
Since the electron and hole currents are continuous functions
through the pn junction, the total pn junction current will be
the minority carrier hole diffusion current at x = xn plus the
minority carrier electron diffusion current at x = −xp.
The gradients in the minority carrier concentrations, as shown
in Figure 8.5, produce diffusion currents, and since we are
assuming the electric field to be zero at the space charge
edges, we can neglect any minority carrier drift current
component.
This approach in determining the pn junction current is shown
in Figure 8.7.
Tewodros Adaro The pn Junction Diode
28. Ideal pn Junction Current
We can calculate the minority carrier hole diffusion current
density at x = xn from the relation
Jp(xn) = −eDp
dpn(x)
dx
|x=xn (24)
Since we are assuming uniformly doped regions, the
thermal-equilibrium carrier concentration is constant, so the
hole diffusion current density may be written as
Jp(xn) = −eDp
d(δpn(x))
dx
|x=xn (25)
Tewodros Adaro The pn Junction Diode
29. Ideal pn Junction Current
Taking the derivative of Equation (16) and substituting into
Equation (23), we obtain
Jp(xn) =
eDppn0
Lp
(exp
eVa
kT
− 1) (26)
The hole current density for this forward-bias condition is in
the +x direction, which is from the p to the n region.
Similarly, we may calculate the electron diffusion current
density at x = −xp . This may be written as
Jn(−xp) = −eDn
d(δnp(x))
dx
|x=−xp (27)
Jn(−xp) =
eDnnp0
Ln
(exp
eVa
kT
− 1) (28)
The electron current density is also in the +x direction.
Tewodros Adaro The pn Junction Diode
30. Ideal pn Junction Current
The total current density in the pn junction is then
J = Jp(xn) + Jn(−xp) = (
eDppn0
Lp
+
eDnnp0
Ln
)(exp
eVa
kT
− 1)
(29)
Equation (27) is the ideal current–voltage relationship of a pn
junction. We may define a parameter Js as
Js = (
eDppn0
Lp
+
eDnnp0
Ln
) (30)
so that Equation (27) may be written as
J = Js(exp
eVa
kT
− 1) (31)
Tewodros Adaro The pn Junction Diode
32. Ideal pn Junction Current
Equation (29) is plotted in Figure 8.8 as a function of
forward-bias voltage Va .
If the voltage Va becomes negative (reverse bias) by a few
kT/eV , then the reverse-biased current density becomes
independent of the reverse-biased voltage.
The parameter Js is then referred to as the reverse-saturation
current density.
The forward-bias voltage lowers the potential barrier so that
electrons and holes are injected across the space charge region.
The injected carriers become minority carriers which then
diffuse from the junction and recombine with majority carriers.
Tewodros Adaro The pn Junction Diode
33. Ideal pn Junction Current
We calculated the minority carrier diffusion current densities
at the edge of the space charge region.
We can reconsider Equations (18) and (19) and determine the
minority carrier diffusion current densities as a function of
distance through the p and n regions.
These results are
Jp(x) =
eDppn0
Lp
[exp (
eva
kT
) − 1] exp (
xn − x
Lp
)(x ≥ xn) (32)
Jn(x) =
eDnnp0
Ln
[exp (
eva
kT
) − 1] exp (
xp + x
Ln
)(x ≤ −xp) (33)
Tewodros Adaro The pn Junction Diode
34. Ideal pn Junction Current
The minority carrier diffusion current densities decay
exponentially in each region.
However, the total current through the pn junction is
constant.
The difference between total current and minority carrier
diffusion current is a majority carrier current.
Figure 8.10 shows the various current components through
the pn structure.
The drift of majority carrier holes in the p region far from the
junction,
For example, is to supply holes that are being injected across
the space charge region into the n region and also to supply
holes that are lost by recombination with excess minority
carrier electrons.
The same discussion applies to the drift of electrons in the n
region.
Tewodros Adaro The pn Junction Diode
36. Forward-Bias Recombination Current
For the reverse-biased pn junction, electrons and holes are
essentially completely swept out of the space charge region so
that n ≈ p ≈ 0 .
Under forward bias, however, electrons and holes are injected
across the space charge region, so we do, in fact, have some
excess carriers in the space charge region.
The possibility exists that some of these electrons and holes
will recombine within the space charge region and not become
part of the minority carrier distribution.
The recombination rate of electrons and holes is given by
R =
(np − n2
i )
τpo(n + n0
) + τno(p + p0
)
(34)
Tewodros Adaro The pn Junction Diode
37. Forward-Bias Recombination Current
Figure 8.13 shows the energy-band diagram of the
forward-biased pn junction.
Shown in the figure are the intrinsic Fermi level and the
quasi-Fermi levels for electrons and holes.
We may write the electron concentration as
n = ni exp (
EFn − EFi
kT
) (35)
and the hole concentration as
p = ni exp (
EFi − EFp
kT
) (36)
where EFn and EFp are the quasi-Fermi levels for electrons and
holes, respectively.
Tewodros Adaro The pn Junction Diode
39. Forward-Bias Recombination Current
From Figure 8.13, we may note that
(EFn − EFi ) + (EFi − EFp) = eva (37)
where Va is the applied forward-bias voltage. Again, if we
assume that the trap level is at the intrinsic Fermi level,
thenn
0
= p
0
= ni .
Figure 8.14 shows a plot of the relative magnitude of the
recombination rate as a function of distance through the
space charge region.
A very sharp peak occurs at the metallurgical junction
(x = 0).
At the center of the space charge region, we have
EFn − EFi = EFi − EFp =
eva
2
(38)
Tewodros Adaro The pn Junction Diode
41. Forward-Bias Recombination Current
Equations (35) and (36) then become
n = ni exp (
EFn − EFi
2kT
) (39)
and the hole concentration as
p = ni exp (
EFi − EFp
2kT
) (40)
If we assume that n
0
= p
0
= ni and that τn0 = τp0 = τ0 , then
Equation (35) becomes
Rmax =
ni
2τ0
[exp (
eva
kT
) − 1]
[exp (
eva
2kT
) + 1]
(41)
Tewodros Adaro The pn Junction Diode
42. Forward-Bias Recombination Current
which is the maximum recombination rate for electrons and
holes that occurs at the center of the forward-biased pn
junction.
If we assume that Va kT/e, we may neglect the (-1) term
in the numerator and the (+1) term in the denominator.
Equation (41) then becomes
Rmax =
ni
2τ0
exp (
eva
2kT
) (42)
The recombination current density may be calculated from
Jrec =
Z W
0
eRdx (43)
Tewodros Adaro The pn Junction Diode
43. Forward-Bias Recombination Current
We have calculated the maximum recombination rate at the
center of the space charge region, so we may write
Jrec =
eWni
2τ0
exp (
eva
2kT
) = Jro exp (
eva
2kT
) (44)
where W is the space charge width.
Tewodros Adaro The pn Junction Diode
44. Total Forward-Bias Current
The total forward-bias current density in the pn junction is the
sum of the recombination and the ideal diffusion current
densities.
J = Jrec + Jrec (45)
In general, the diode current–voltage relationship may be
written as
I = Is[exp (
eva
nkT
) − 1] (46)
where the parameter n is called the ideality factor.
For a large forward-bias voltage, n ≈ 1 when diffusion
dominates, and
For low forward-bias voltage, n ≈ 2 when recombination
dominates.
There is a transition region where 1 n 2.
Tewodros Adaro The pn Junction Diode