Monte Carlo Simulations in Multibaric-Multithermal Ensemble
H. Okumura (1), Y. Okamoto (1, 2) ((1) Institute for Molecular, Science, (2) The Graduate University for Advanced Studies)

TL;DR
The paper introduces a novel multibaric-multithermal Monte Carlo algorithm that efficiently explores volume and energy spaces, enabling calculation of ensemble averages across various pressures and temperatures from a single simulation.
Contribution
A new generalized-ensemble Monte Carlo method that performs random walks in volume and energy spaces, allowing comprehensive ensemble calculations from one run.
Findings
Accurate averages obtained across wide pressure and temperature ranges.
Effective exploration of phase space with a single simulation.
Validated on Lennard-Jones system with 500 particles.
Abstract
We propose a new generalized-ensemble algorithm, which we refer to as the multibaric-multithermal Monte Carlo method. The multibaric-multithermal Monte Carlo simulations perform random walks widely both in volume space and in potential energy space. From only one simulation run, one can calculate isobaric-isothermal-ensemble averages at any pressure and any temperature. We test the effectiveness of this algorithm by applying it to the Lennard-Jones 12-6 potential system with 500 particles. It is found that a single simulation of the new method indeed gives accurate average quantities in isobaric-isothermal ensemble for a wide range of pressure and temperature.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
