A Schottky vacancy in an ionic crystal is an empty lattice site. A neighboring ion can jump into it if it clears the migration energy barrier Ea — a thermally activated, Arrhenius-rate process, simulated here as a kinetic Monte Carlo walk on a 2D square sublattice (the field axis is the horizontal, +x, direction):
Γ = ν₀·exp(−Ea / kBT) (unbiased hop rate)
Γ± = ν₀·exp(−(Ea ∓ qEa₀/2) / kBT) (field-biased, ± = with/against E)
D = a₀²·ν₀·exp(−Ea / kBT) (hopping diffusivity)
σ = n·q²·D / (kBT) (Nernst–Einstein conductivity)
- ν₀ ≈ 10¹³ Hz — the lattice's phonon "attempt frequency"; every ion rattles in its site this many times per second, and each rattle is one chance to clear the barrier.
- Temperature — raises kBT, exponentially increasing the fraction of attempts that succeed. This is why solid electrolytes conduct far better hot than cold.
- Vacancy concentration — sets how many empty sites exist for ions to hop into; conduction needs both a mobile ion and an adjacent vacancy.
- Applied field E — tilts the energy landscape (see the middle panel), lowering the barrier for hops along the field and raising it against, biasing the random walk into a net drift current (glowing amber ions on hop, drifting toward the field arrow).
- Migration barrier Ea — an intrinsic property of the ion/lattice pair (≈0.3 eV for fast Na⁺-β-alumina-type conductors, ≈1 eV+ for sluggish oxide conductors).
This vacancy-hopping mechanism is the microscopic basis of solid-state ionic conductivity — the same physics behind solid electrolytes in batteries, oxygen-ion conduction in fuel cells, and the Schottky-defect diffusion described in classic solid-state chemistry. Drag the lattice panel to pan, scroll to zoom; the tilted-barrier diagram and the hop-rate history update live as you move the sliders.