{"title":"An Efficient Integrator Scheme for Sampling the (Quantum) Isobaric-Isothermal Ensemble in (Path Integral) Molecular Dynamics Simulations.","authors":"Weihao Liang, Sihan Wang, Cong Wang, Weizhou Wang, Xinchen She, Chongbin Wang, Jiushu Shao, Jian Liu","doi":"10.1021/acs.jctc.5c00573","DOIUrl":null,"url":null,"abstract":"<p><p>Because most chemical or biological experiments are performed under conditions of controlled pressure and temperature, it is important to simulate the isobaric-isothermal ensemble at the atomic level to reveal the microscopic mechanism. By extending our efficient configuration sampling approach for the canonical ensemble, we propose a unified \"middle\" scheme to sample the coordinate (configuration) and volume distribution, which can accurately simulate either classical or quantum isobaric-isothermal processes. Various barostats and thermostats can be employed in the unified \"middle\" scheme for simulating real molecular systems with or without holonomic constraints. In particular, we demonstrate the recommended \"middle\" scheme by employing the Martyna-Tuckerman-Tobias-Klein barostat and stochastic cell-rescaling barostat, with the Langevin thermostat, in molecular simulation packages (DL_POLY, AMBER, GROMACS, and so forth). Benchmark numerical tests show that, without additional numerical effort, the \"middle\" scheme is competent in increasing the time interval by a factor of 5 ∼ 10 to achieve the same accuracy of converged results for most thermodynamic properties in (path integral) molecular dynamics simulations.</p>","PeriodicalId":45,"journal":{"name":"Journal of Chemical Theory and Computation","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical Theory and Computation","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.jctc.5c00573","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Because most chemical or biological experiments are performed under conditions of controlled pressure and temperature, it is important to simulate the isobaric-isothermal ensemble at the atomic level to reveal the microscopic mechanism. By extending our efficient configuration sampling approach for the canonical ensemble, we propose a unified "middle" scheme to sample the coordinate (configuration) and volume distribution, which can accurately simulate either classical or quantum isobaric-isothermal processes. Various barostats and thermostats can be employed in the unified "middle" scheme for simulating real molecular systems with or without holonomic constraints. In particular, we demonstrate the recommended "middle" scheme by employing the Martyna-Tuckerman-Tobias-Klein barostat and stochastic cell-rescaling barostat, with the Langevin thermostat, in molecular simulation packages (DL_POLY, AMBER, GROMACS, and so forth). Benchmark numerical tests show that, without additional numerical effort, the "middle" scheme is competent in increasing the time interval by a factor of 5 ∼ 10 to achieve the same accuracy of converged results for most thermodynamic properties in (path integral) molecular dynamics simulations.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.