Using Markov transition matrices to generate trial configurations in Markov chain Monte Carlo simulations

DOI10.1016/j.cpc.2022.108641OpenAlexW4311763297MaRDI QIDQ2692419

Isha Malhotra, Joël Mabillard, Bortolo Matteo Mognetti

Publication date: 21 March 2023

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.12623

zbMATH Keywords

Monte Carlo methodsclassical statistical mechanicsMarkovian processesmathematical physics methodschemical physics \& physical chemistrypath sampling methods

Mathematics Subject Classification ID

Statistics (62-XX) Statistical mechanics, structure of matter (82-XX)

Cites Work

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• Nonequilibrium measurements of free energy differences for microscopically reversible Markovian systems
• Analysis of a nonreversible Markov chain sampler.
• Free energy reconstruction from steered dynamics without post-processing
• Forward Event-Chain Monte Carlo: Fast Sampling by Randomness Control in Irreversible Markov Chains

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