Manipulation of Carrier Numbers – Doping

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Manipulation of Carrier Numbers – Doping Chapter 2 Carrier Modeling Manipulation of Carrier Numbers – Doping By substituting a Si atom with a special impurity atom (elements from Group III or Group V), a hole or conduction electron can be created. Acceptors: B, Ga, In, Al Boron, Gallium Indium, Aluminum Donors: P, As, Sb Phosphorus, Arsenic, Antimony

Doping Silicon with Acceptors Chapter 2 Carrier Modeling Doping Silicon with Acceptors Example: Aluminum atom is doped into the Si crystal. Al– is immobile The Al atom accepts an electron from a neighboring Si atom, resulting in a missing bonding electron, or “hole”. The hole is free to roam around the Si lattice, and as a moving positive charge, the hole carries current.

Doping Silicon with Donors Chapter 2 Carrier Modeling Doping Silicon with Donors Example: Phosphorus atom is doped into the Si crystal. P+ is immobile The loosely bounded fifth valence electron of the P atom can “break free” easily and becomes a mobile conducting electron. This electron contributes in current conduction.

Donor / Acceptor Levels (Band Model) Chapter 2 Carrier Modeling Donor / Acceptor Levels (Band Model) ▬ E c Donor Level ED Donor ionization energy + E v Acceptor Level A Acceptor ionization energy ▬ + Ionization energy of selected donors and acceptors in Silicon Acceptors Ionization energy of dopant Sb P As B Al In EC – ED or EA – EV (meV) 39 45 54 67 160 Donors

Dopant Ionization (Band Model) Chapter 2 Carrier Modeling Dopant Ionization (Band Model) Donor atoms Acceptor atoms

Carrier-Related Terminology Chapter 2 Carrier Modeling Carrier-Related Terminology Donor: impurity atom that increases n (conducting electron). Acceptor: impurity atom that increases p (hole). n-type material: contains more electrons than holes. p-type material: contains more holes than electrons. Majority carrier: the most abundant carrier. Minority carrier: the least abundant carrier. Intrinsic semiconductor: undoped semiconductor n = p = ni. Extrinsic semiconductor: doped semiconductor.

Density of States g(E) is the number of states per cm3 per eV. Chapter 2 Carrier Modeling Density of States Ec Ev DE E Ec Ev gc(E) gv(E) density of states g(E) g(E) is the number of states per cm3 per eV. g(E)dE is the number of states per cm3 in the energy range between E and E+dE).

Density of States Near the band edges: E DE gc(E) Ec Ec Chapter 2 Carrier Modeling Density of States Ec Ev DE E Ec Ev gc(E) gv(E) density of states g(E) Near the band edges: E  Ec E  Ev mo: electron rest mass

Electrons as Moving Particles Chapter 2 Carrier Modeling Electrons as Moving Particles In free space In semiconductor mo: electron rest mass mn*: effective mass of electron Effective masses at 300 K

Chapter 2 Carrier Modeling Fermi Function The probability that an available state at an energy E will be occupied by an electron is specified by the following probability distribution function: k : Boltzmann constant T : temperature in Kelvin EF is called the Fermi energy or the Fermi level.

Boltzmann Approximation of Fermi Function Chapter 2 Carrier Modeling Boltzmann Approximation of Fermi Function The Fermi Function that describes the probability that a state at energy E is filled with an electron, under equilibrium conditions, is already given as: Fermi Function can be approximated, using Boltzmann Approximation, as: if E – EF > 3kT if EF – E > 3kT

Effect of Temperature on f(E) Chapter 2 Carrier Modeling Effect of Temperature on f(E)

Effect of Temperature on f(E) Chapter 2 Carrier Modeling Effect of Temperature on f(E)

Equilibrium Distribution of Carriers Chapter 2 Carrier Modeling Equilibrium Distribution of Carriers n(E) is obtained by multiplying gc(E) and f(E), p(E) is obtained by multiplying gv(E) and 1–f(E). Intrinsic semiconductor material Energy band diagram Density of states Probability of occupancy Carrier distribution

Equilibrium Distribution of Carriers Chapter 2 Carrier Modeling Equilibrium Distribution of Carriers n-type semiconductor material Energy band diagram Density of States Probability of occupancy Carrier distribution

Equilibrium Distribution of Carriers Chapter 2 Carrier Modeling Equilibrium Distribution of Carriers p-type semiconductor material Energy band diagram Density of States Probability of occupancy Carrier distribution

Important Constants Electronic charge, q = 1.610–19 C Chapter 2 Carrier Modeling Important Constants Electronic charge, q = 1.610–19 C Permittivity of free space, εo = 8.85410–12 F/m Boltzmann constant, k = 8.6210–5 eV/K Planck constant, h = 4.1410–15 eVs Free electron mass, mo = 9.110–31 kg Thermal energy, kT = 0.02586 eV (at 300 K) Thermal voltage, kT/q = 0.02586 V (at 300 K)

Nondegenerately Doped Semiconductor Chapter 2 Carrier Modeling Nondegenerately Doped Semiconductor The expressions for n and p will now be derived in the range where the Boltzmann approximation can be applied: Ec Ev 3kT EF in this range The semiconductor is said to be nondegenerately doped (lightly doped) in this case.

Degenerately Doped Semiconductor Chapter 2 Carrier Modeling Degenerately Doped Semiconductor If a semiconductor is very heavily doped, the Boltzmann approximation is not valid. For Si at T = 300 K, Ec-EF < 3kT if ND > 1.6  1018 cm–3 EF-Ev < 3kT if NA > 9.1  1017 cm–3 The semiconductor is said to be degenerately doped (heavily doped) in this case. ND = total number of donor atoms/cm3 NA = total number of acceptor atoms/cm3

Equilibrium Carrier Concentrations Chapter 2 Carrier Modeling Equilibrium Carrier Concentrations Integrating n(E) over all the energies in the conduction band to obtain n (conduction electron concentration): By using the Boltzmann approximation, and extending the integration limit to , NC = “effective” density of conduction band states For Si at 300 K, NC = 3.22  1019 cm–3

Equilibrium Carrier Concentrations Chapter 2 Carrier Modeling Equilibrium Carrier Concentrations Integrating p(E) over all the energies in the conduction band to obtain p (hole concentration): By using the Boltzmann approximation, and extending the integration limit to , NV = “effective” density of valence band states For Si at 300 K, NV = 1.83  1019 cm–3

Intrinsic Carrier Concentration Chapter 2 Carrier Modeling Intrinsic Carrier Concentration Relationship between EF and n, p : For intrinsic semiconductors, where n = p = ni, EG : band gap energy

Intrinsic Carrier Concentration Chapter 2 Carrier Modeling Intrinsic Carrier Concentration

Alternative Expressions: n(ni, Ei) and p(ni, Ei) Chapter 2 Carrier Modeling Alternative Expressions: n(ni, Ei) and p(ni, Ei) In an intrinsic semiconductor, n = p = ni and EF = Ei, where Ei denotes the intrinsic Fermi level.

Intrinsic Fermi Level, Ei Chapter 2 Carrier Modeling Intrinsic Fermi Level, Ei To find EF for an intrinsic semiconductor, we use the fact that n = p. Ec Ev EG = 1.12 eV Si Ei Ei lies (almost) in the middle between Ec and Ev

Example: Energy-Band Diagram Chapter 2 Carrier Modeling Example: Energy-Band Diagram For Silicon at 300 K, where is EF if n = 1017 cm–3 ? Silicon at 300 K, ni = 1010 cm–3

Charge Neutrality and Carrier Concentration Chapter 2 Carrier Modeling Charge Neutrality and Carrier Concentration ND: concentration of ionized donor (cm–3) NA: concentration of ionized acceptor (cm–3)? + – Charge neutrality condition: Ei quadratic equation in n Assumptions: nondegeneracy (np product relationship applies) and total ionization.

Charge-Carrier Concentrations Chapter 2 Carrier Modeling Charge-Carrier Concentrations The solution of the previous quadratic equation for n is: New quadratic equation can be constructed and the solution for p is: Carrier concentrations depend on net dopant concentration ND–NA or NA–ND

Dependence of EF on Temperature Chapter 2 Carrier Modeling Dependence of EF on Temperature 1013 1014 1015 1016 1017 1018 1019 1020 400 K 300 K Net dopant concentration (cm–3) Ec Ev EF (donor-doped) EF (acceptor-doped) Ei

Carrier Concentration vs. Temperature Chapter 2 Carrier Modeling Carrier Concentration vs. Temperature Phosphorus-doped Si ND = 1015 cm–3 n : number of majority carrier ND : number of donor electron ni : number of intrinsic conductive electron

Homework 1 1. (Problem 2.6 in Pierret) (4.2) 2. (2.36) Chapter 2 Carrier Modeling Homework 1 1. (Problem 2.6 in Pierret) (4.2) Under equilibrium condition at T > 0 K, what is the probability of an electron state being occupied if it is located at the Fermi level? If EF is positioned at Ec, determine (numerical answer required) the probability of finding electrons in states at Ec + kT. The probability a state is filled at Ec + kT is equal to the probability a state is empty at Ec + kT. Where is the Fermi level located? 2. (2.36) Determine for what energy above EF (in terms of kT) the Boltzmann approximation is within 1 percent of the exact Fermi probability function . Give the value of the exact probability function at this energy.

Chapter 2 Carrier Modeling Homework 1 3.a. (4.2) Calculate the equilibrium hole concentration in silicon at T = 400 K if the Fermi energy level is 0.27 eV above the valence band energy. 3.b. (E4.3) Find the intrinsic carrier concentration in silicon at: (i) T = 200 K and (ii) T = 400 K. 3.c. (4.13) Silicon at T = 300 K contains an acceptor impurity concentration of NA = 1016 cm–3. Determine the concentration of donor impurity atoms that must be added so that the silicon is n-type and the Fermi energy level is 0.20 eV below the conduction band edge. Due date: Thursday, 26.04.2012, at 08:00.