Development of a generalized hybrid Monte Carlo algorithm to generate the multicanonical ensemble with applications to molecular systems
Author:
Affiliation:
1. Graduate School of Natural Science and Technology, Kanazawa University, Kakuma, Kanazawa 920-1192, Japan
2. Faculty of Mathematics and Physics, Kanazawa University, Kakuma, Kanazawa 920-1192, Japan
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://aip.scitation.org/doi/pdf/10.1063/1.5028466
Reference62 articles.
1. Monte Carlo Simulation in Statistical Physics
2. New Monte Carlo algorithms for protein folding
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1. Thermodynamic Folding-Unfolding Transition and Potential Energy Landscape of a Mini-Protein Chignolin;Journal of the Physical Society of Japan;2024-08-15
2. Hybrid Monte Carlo method with potential scaling for sampling from the canonical multimodal distribution and imitating the relaxation process;The Journal of Chemical Physics;2022-03-14
3. A simple method to accelerate configurational sampling for a generalized hybrid Monte Carlo method;Journal of Physics: Conference Series;2022-03-01
4. Potential energy landscape and thermodynamic transitions of coarse-grained protein models revealed by the multicanonical generalized hybrid Monte Carlo method;Biophysics and Physicobiology;2020
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