Fermi-Dirac Distribution Calculator

Enter Fermi energy and temperature to compute occupation probability f(E) at any energy level and plot the full Fermi-Dirac distribution curve.

Use the Fermi-Dirac Distribution Calculator

Parameters

Energy at which f(E) is evaluated (can be any value).

Formula
f(E) = 1 / (exp((E - Ef) / kT) + 1)
k = 8.61733 × 10-5 eV/K
f(Ef) = 0.5 at any temperature

Results at E = — eV

Enter parameters and click Calculate

f(E) vs Energy Curve

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f(E) at Selected Energies

Calculate to see the distribution table.

Summary

The Fermi-Dirac distribution describes the probability that a quantum state at energy E is occupied by a fermion (such as an electron) at thermal equilibrium. It is defined as f(E) = 1 / (exp((E - E_f) / (kT)) + 1), where E_f is the Fermi energy, k is the Boltzmann constant, and T is the absolute temperature. At absolute zero the distribution is a perfect step function: all states below E_f are occupied and all above are empty. At higher temperatures the step softens, and states above E_f gain a non-zero occupation probability.

How it works

  1. Enter the Fermi energy E_f in electron-volts (eV).
  2. Enter the temperature in Kelvin (minimum 1 K).
  3. Enter the energy E at which you want to evaluate f(E).
  4. Click Calculate to see the occupation probability, the thermal energy kT, and a breakdown of the exponent.
  5. The chart below updates automatically, showing f(E) vs E across a symmetric range around the Fermi level.
  6. Use the preset temperature buttons (0 K limit, 300 K, 1000 K, 5000 K) for quick comparisons.

Use cases

  • Determining electron occupation probability in semiconductor band structures.
  • Visualizing how the Fermi edge sharpens at low temperatures.
  • Computing carrier concentration integrals in solid-state physics.
  • Teaching statistical mechanics and quantum statistics.
  • Estimating thermionic emission probabilities near the Fermi level.
  • Analysing metal conduction band filling in condensed matter research.

Frequently Asked Questions

Last updated: 2026-05-28 · Reviewed by Nham Vu