Manchester Institute of Biotechnology, The University of Manchester, Manchester, M1 7DN, United Kingdom.
Department of Chemistry, The University of Manchester, Manchester, M13 9PL, United Kingdom.
J Comput Chem. 2020 Mar 15;41(7):619-628. doi: 10.1002/jcc.26111. Epub 2019 Nov 20.
Key to progress in molecular simulation is the development of advanced models that go beyond the limitations of traditional force fields that employ a fixed, point charge-based description of electrostatics. Taking water as an example system, the FFLUX framework is shown capable of producing models that are flexible, polarizable and have a multipolar description of the electrostatics. The kriging machine-learning methods used in FFLUX are able to reproduce the intramolecular potential energy surface and multipole moments of a single water molecule with chemical accuracy using as few as 50 training configurations. Molecular dynamics simulations of water clusters (25-216 molecules) using the new FFLUX model reveal that incorporating charge-quadrupole, dipole-dipole, and quadrupole-charge interactions into the description of the electrostatics results in significant changes to the intermolecular structuring of the water molecules. © 2019 The Authors. Journal of Computational Chemistry published by Wiley Periodicals, Inc.
分子模拟进展的关键在于开发超越传统力场的先进模型,传统力场采用固定的、基于点电荷的静电描述。以水为例系统,FFLUX 框架能够生成灵活、极化和具有静电多极描述的模型。FFLUX 中使用的克里金机器学习方法仅使用 50 个训练配置即可以化学精度再现单个水分子的分子内势能面和多极矩。使用新的 FFLUX 模型对水分子簇(25-216 个分子)的分子动力学模拟表明,将电荷四极矩、偶极-偶极矩和四极矩-电荷相互作用纳入静电描述会导致水分子的分子间结构发生显著变化。© 2019 作者。约翰威立父子出版公司出版的《计算化学杂志》