Electrons in periodic potentials

Derive electronic bands and transport observables through Bloch states, reciprocal geometry, effective masses, and controlled electronic-structure approximations.

10 published lessons1 module270 min of guided study
  1. 01
    Electrons in periodic potentialsadvanced · 10 lessons

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Electrons in periodic potentials

Derive electronic bands and transport observables through Bloch states, reciprocal geometry, effective masses, and controlled electronic-structure approximations.

  1. 01

    Use translation symmetry to label electronic states

    Declare reciprocal conventions and distinguish crystal momentum from mechanical momentum.

    27 min
  2. 02

    Open a gap by mixing degenerate plane waves

    Use a two-state block at a Bragg plane and state the approximation’s limits.

    27 min
  3. 03

    Build a band from localized orbitals

    Keep hopping signs, Hermitian conjugation, and basis overlap explicit.

    27 min
  4. 04

    Count energy states across the whole Brillouin zone

    Derive dimensional density-of-states laws and identify velocity-related singularities.

    27 min
  5. 05

    Count electrons from occupied reciprocal volume

    Separate Fermi-surface shape, spin channels, filled bands, and interacting assumptions.

    27 min
  6. 06

    Move a wavepacket through an isolated band

    Combine band velocity, force-driven crystal momentum, and Berry curvature.

    27 min
  7. 07

    Read acceleration from the curvature tensor

    Distinguish local band mass, holes, and an orbit-dependent cyclotron mass.

    27 min
  8. 08

    Turn a band subspace into localized orbitals

    Use unitary Fourier transforms while keeping gauge freedom and orthogonality explicit.

    27 min
  9. 09

    Build a ground-state density through auxiliary orbitals

    Separate the exact density-functional framework from functional approximations and eigenvalue interpretation.

    27 min
  10. 10

    Validate the quantity a band calculation is meant to predict

    Separate model error, numerical convergence, filling, and comparison with experiment.

    27 min
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