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Fermi-Dirac Distribution Calculator

Calculate occupancy for fermions.

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Occupancy

Formula first

Overview

The Fermi-Dirac distribution is a probability function used in statistical mechanics to describe the occupancy of energy states by fermions in thermal equilibrium. It incorporates the Pauli Exclusion Principle, which prevents multiple fermions from occupying the same quantum state simultaneously.

Symbols

Variables

E = Energy State, \mu = Fermi Level, T = Temperature, f(E) = Occupancy

Energy State
Fermi Level
Temperature
Occupancy

Apply it well

When To Use

When to use: Apply this equation to systems of identical particles with half-integer spin, such as electrons, protons, or neutrons. It is required when particle density is high or temperatures are low enough that quantum exclusion effects become dominant over classical Boltzmann behavior.

Why it matters: This distribution explains the electronic properties of metals and semiconductors, forming the basis for modern solid-state electronics. It is also crucial in astrophysics for describing the internal pressure of degenerate matter in white dwarf stars and neutron stars.

Avoid these traps

Common Mistakes

  • Confusing with Bose (denominator -1).
  • Using wrong units for k.

One free problem

Practice Problem

Calculate the occupancy probability (f) for an energy state at 0.10 eV in a system where the Fermi level (u) is 0.05 eV and the temperature is 300 K. Use Boltzmann constant kB = 8.617 × 10⁻⁵ eV/K.

Energy State0.1 eV
Fermi Level0.05 eV
Temperature300 K

Solve for:

Hint: First calculate the exponent (E-u)/(kB × T) and then evaluate the exponential function.

The full worked solution stays in the interactive walkthrough.

References

Sources

  1. Statistical Mechanics by Donald A. McQuarrie
  2. Thermodynamics and an Introduction to Thermostatistics by Herbert B. Callen
  3. Physical Chemistry by Peter Atkins and Julio de Paula
  4. Wikipedia: Fermi-Dirac statistics
  5. NIST CODATA
  6. Atkins' Physical Chemistry
  7. Callen, Thermodynamics and an Introduction to Thermostatistics
  8. McQuarrie Statistical Mechanics