Individual skill
statistical-mechanics
Monte Carlo simulation for statistical mechanics — Ising model, Metropolis-Hastings, Wolff cluster algorithm, observables (magnetization, susceptibility, specific heat), finite-size scaling, and critical phenomena analysis.
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# Statistical Mechanics (Monte Carlo)
## Overview
Monte Carlo simulation of classical statistical mechanics models. Metropolis-Hastings and cluster algorithms for spin models, with tools for measuring observables, detecting phase transitions, and finite-size scaling analysis.
## When to Use
- Simulating spin models (Ising, Potts, XY, Heisenberg)
- Finding critical temperatures and exponents
- Computing thermodynamic observables (energy, magnetization, susceptibility, specific heat)
- Finite-size scaling analysis
- Any equilibrium statistical mechanics simulation
