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Read: Chapter 2 (Section 2.4)
Lecture #4 OUTLINE Energy band model (revisited) Thermal equilibrium Fermi-Dirac distribution Boltzmann approximation Relationship between EF and n, p Read: Chapter 2 (Section 2.4)
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Important Constants Electronic charge, q = 1.610-19 C
Permittivity of free space, eo = 8.85410-14 F/cm Boltzmann constant, k = 8.6210-5 eV/K Planck constant, h = 4.1410-15 eVs Free electron mass, mo = 9.110-31 kg Thermal voltage kT/q = 26 mV EE130 Lecture 4, Slide 2
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Dopant Ionization (Band Model)
EE130 Lecture 4, Slide 3
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Carrier Concentration vs. Temperature
EE130 Lecture 4, Slide 4
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Electrons and Holes (Band Model)
electron kinetic energy Ec Increasing hole energy Increasing electron energy Ev hole kinetic energy Electrons and holes tend to seek lowest-energy positions Electrons tend to fall Holes tend to float up (like bubbles in water) EE130 Lecture 4, Slide 5
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Thermal Equilibrium No external forces are applied:
electric field = 0, magnetic field = 0 mechanical stress = 0 no light Dynamic situation in which every process is balanced by its inverse process Electron-hole pair (EHP) generation rate = EHP recombination rate Thermal agitation electrons and holes exchange energy with the crystal lattice and each other Every energy state in the conduction band and valence band has a certain probability of being occupied by an electron EE130 Lecture 4, Slide 6
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Analogy for Thermal Equilibrium
Sand particles Dish Vibrating Table There is a certain probability for the electrons in the conduction band to occupy high-energy states under the agitation of thermal energy (vibrating atoms) EE130 Lecture 4, Slide 7
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Fermi Function Probability that an available state at energy E is occupied: EF is called the Fermi energy or the Fermi level There is only one Fermi level in a system at equilibrium. If E >> EF : If E << EF : If E = EF : EE130 Lecture 4, Slide 8
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Effect of Temperature on f(E)
EE130 Lecture 4, Slide 9
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Boltzmann Approximation
Probability that a state is empty (occupied by a hole): EE130 Lecture 4, Slide 10
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Equilibrium Distribution of Carriers
Obtain n(E) by multiplying gc(E) and f(E) Energy band diagram Density of States Probability of occupancy Carrier distribution EE130 Lecture 4, Slide 11
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Obtain p(E) by multiplying gv(E) and 1-f(E)
Energy band diagram Density of States Probability of occupancy Carrier distribution EE130 Lecture 4, Slide 12
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Equilibrium Carrier Concentrations
Integrate n(E) over all the energies in the conduction band to obtain n: By using the Boltzmann approximation, and extending the integration limit to , we obtain EE130 Lecture 4, Slide 13
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Integrate p(E) over all the energies in the valence band to obtain p:
By using the Boltzmann approximation, and extending the integration limit to -, we obtain EE130 Lecture 4, Slide 14
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Intrinsic Carrier Concentration
EE130 Lecture 4, Slide 15
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N-type Material Energy band diagram Density of States Probability
of occupancy Carrier distribution EE130 Lecture 4, Slide 16
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P-type Material Energy band diagram Density of States Probability
of occupancy Carrier distribution EE130 Lecture 4, Slide 17
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Dependence of EF on Temperature
Ec 3 K K 4 EF for donor-doped EF for acceptor-doped 4 K 3 K Ev 10 13 10 14 10 15 10 16 10 17 10 18 10 19 10 20 Net Dopant Concentration (cm-3) EE130 Lecture 4, Slide 18
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Summary Thermal equilibrium:
Balance between internal processes with no external stimulus (no electric field, no light, etc.) Fermi function Probability that a state at energy E is filled with an electron, under equilibrium conditions. Boltzmann approximation: For high E, i.e. E – EF > 3kT: For low E, i.e. EF – E > 3kT: EE130 Lecture 4, Slide 19
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Relationship between EF and n, p :
Intrinsic carrier concentration : EE130 Lecture 4, Slide 20
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