Martin Sommer-Jörgensen, Marco Krummenacher, Stefan Goedecker
{"title":"Accelerating Variable Cell Shape Molecular Dynamics with a Position-Dependent Mass Matrix.","authors":"Martin Sommer-Jörgensen, Marco Krummenacher, Stefan Goedecker","doi":"10.1021/acs.jctc.5c00237","DOIUrl":null,"url":null,"abstract":"<p><p>In molecular dynamics (MD), the accessible time scales are limited by the necessity to choose sufficiently small time steps so that the fastest vibrations of the system can still be modeled. Mass tensor molecular dynamics (MTMD) aims to increase the time step by augmenting the Hamiltonian with a position-dependent mass matrix. Higher masses are assigned to modes with fast vibrations. These modes are identified by using an approximate Hessian matrix. The approximate Hessian matrix presented in this paper is applicable to the simulation of molecular systems, where no changes in the bonding pattern occur. We have adapted the MTMD method to variable cell shape systems and present a suitable symplectic integrator. The efficiency of the method is demonstrated for a system of molecular crystals consisting of <i>N</i>-(4-Methylbenzylidene)-4-methylaniline, where we could sample transitions between two polymorphs and thereby increase the time step by a factor of 4.4 to speed up the simulation. We have also simulated liquid water at the density function theory level, where we have achieved an acceleration by a factor of 2.8.</p>","PeriodicalId":45,"journal":{"name":"Journal of Chemical Theory and Computation","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-06-13","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.5c00237","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
In molecular dynamics (MD), the accessible time scales are limited by the necessity to choose sufficiently small time steps so that the fastest vibrations of the system can still be modeled. Mass tensor molecular dynamics (MTMD) aims to increase the time step by augmenting the Hamiltonian with a position-dependent mass matrix. Higher masses are assigned to modes with fast vibrations. These modes are identified by using an approximate Hessian matrix. The approximate Hessian matrix presented in this paper is applicable to the simulation of molecular systems, where no changes in the bonding pattern occur. We have adapted the MTMD method to variable cell shape systems and present a suitable symplectic integrator. The efficiency of the method is demonstrated for a system of molecular crystals consisting of N-(4-Methylbenzylidene)-4-methylaniline, where we could sample transitions between two polymorphs and thereby increase the time step by a factor of 4.4 to speed up the simulation. We have also simulated liquid water at the density function theory level, where we have achieved an acceleration by a factor of 2.8.
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.