Simulation
:book: Algorithms in simulation: Markov chain Monte Carlo, Hybrid Monte Carlo, Heat Bath Algorithm, Path integral, Density matrices etc.
Install / Use
/learn @npshub/SimulationREADME
Simulation in Physics
Illustrating various topics in classical and quantum statistical mechanics through Monte Carlo simulations .
Physical and mathematical subjects that are addressed include:
- Introduction to direct and Markov-chain Monte Carlo sampling
- Equivalence of Newton and Boltzmann mechanics, classical Monte Carlo simulations
- Entropic interactions and a liquid-gas phase transition
- Monte Carlo integration
- Quantum statistical mechanics: path integral representation of the density matrix, quantum Monte Carlo simulations
- Bose-Einstein condensation
- The Ising model of ferromagnetism
The material presented here closely follows "Statistical Mechanics: Algorithms and Computations" by W. Krauth from the École normale supérieure and "Statistical Mechanics: A Set of Lectures" by R. P. Feynman.
<img src="fig/ising.gif" width="200" height="200" /> <img src="fig/XY_small.gif" width="200" height="200" /> <img src="fig/heisenberg_small.gif" width="200" height="200" />

Reference:
- Some resources are obtained from https://github.com/dgoekmen/Statistical-Mechanics with LISENCE retained.
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