Literature DB >> 25688596

Transferable next-generation force fields from simple liquids to complex materials.

J R Schmidt1, Kuang Yu1, Jesse G McDaniel1.   

Abstract

Molecular simulations have had a transformative impact on chemists' understanding of the structure and dynamics of molecular systems. Simulations can both explain and predict chemical phenomena, and they provide a unique bridge between the microscopic and macroscopic regimes. The input for such simulations is the intermolecular interactions, which then determine the forces on the constituent atoms and therefore the time evolution and equilibrium properties of the system. However, in practice, accuracy and reliability are often limited by the fidelity of the description of those very same interactions, most typically embodied approximately in mathematical form in what are known as force fields. Force fields most often utilize conceptually simple functional forms that have been parametrized to reproduce existing experimental gas phase or bulk data. Yet, reliance on empirical parametrization can sometimes introduce limitations with respect to novel chemical systems or uncontrolled errors when moving to temperatures, pressures, or environments that differ from those for which they were developed. Alternatively, it is possible to develop force fields entirely from first principles, using accurate electronic structure calculations to determine the intermolecular interactions. This introduces a new set of challenges, including the transferability of the resulting force field to related chemical systems. In response, we recently developed an alternative approach to develop force fields entirely from first-principles electronic structure calculations based on intermolecular perturbation theory. Making use of an energy decomposition analysis ensures, by construction, that the resulting force fields contain the correct balance of the various components of intermolecular interaction (exchange repulsion, electrostatics, induction, and dispersion), each treated by a functional form that reflects the underlying physics. We therefore refer to the resulting force fields as physically motivated. We find that these physically motivated force fields exhibit both high accuracy and transferability, with the latter deriving from the universality of the fundamental physical laws governing intermolecular interactions. This basic methodology has been applied to a diverse set of systems, ranging from simple liquids to nanoporous metal-organic framework materials. A key conclusion is that, in many cases, it is feasible to account for nearly all of the relevant physics of intermolecular interactions within the context of the force field. In such cases, the structural, thermodynamic, and dynamic properties of the system become naturally emergent, even in the absence of explicit parameterization to bulk properties. We also find that, quite generally, the three-body contributions to the dispersion and exchange energies in bulk liquids are crucial for quantitative accuracy in a first-principles force field, although these contributions are almost universally neglected in existing empirical force fields.

Entities:  

Year:  2015        PMID: 25688596     DOI: 10.1021/ar500272n

Source DB:  PubMed          Journal:  Acc Chem Res        ISSN: 0001-4842            Impact factor:   22.384


  13 in total

1.  Universal short-range ab initio atom-atom potentials for interaction energy contributions with an optimal repulsion functional form.

Authors:  Jan K Konieczny; W Andrzej Sokalski
Journal:  J Mol Model       Date:  2015-07-14       Impact factor: 1.810

2.  A general RNA force field: comprehensive analysis of energy minima of molecular fragments of RNA.

Authors:  Yongna Yuan; Matthew J L Mills; Zhuangzhuang Zhang; Yan Ma; Chunyan Zhao; Wei Su
Journal:  J Mol Model       Date:  2021-04-26       Impact factor: 1.810

3.  Perspective: Quantum mechanical methods in biochemistry and biophysics.

Authors:  Qiang Cui
Journal:  J Chem Phys       Date:  2016-10-14       Impact factor: 3.488

4.  A physically grounded damped dispersion model with particle mesh Ewald summation.

Authors:  Joshua A Rackers; Chengwen Liu; Pengyu Ren; Jay W Ponder
Journal:  J Chem Phys       Date:  2018-08-28       Impact factor: 3.488

5.  Machine Learning Force Field Parameters from Ab Initio Data.

Authors:  Ying Li; Hui Li; Frank C Pickard; Badri Narayanan; Fatih G Sen; Maria K Y Chan; Subramanian K R S Sankaranarayanan; Bernard R Brooks; Benoît Roux
Journal:  J Chem Theory Comput       Date:  2017-09-01       Impact factor: 6.006

Review 6.  Semiempirical Quantum Mechanical Methods for Noncovalent Interactions for Chemical and Biochemical Applications.

Authors:  Anders S Christensen; Tomáš Kubař; Qiang Cui; Marcus Elstner
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

Review 7.  Modelling Sorption and Transport of Gases in Polymeric Membranes across Different Scales: A Review.

Authors:  Eleonora Ricci; Matteo Minelli; Maria Grazia De Angelis
Journal:  Membranes (Basel)       Date:  2022-08-31

Review 8.  Microscopic Simulations of Electrochemical Double-Layer Capacitors.

Authors:  Guillaume Jeanmairet; Benjamin Rotenberg; Mathieu Salanne
Journal:  Chem Rev       Date:  2022-04-07       Impact factor: 72.087

Review 9.  Metal-organic and covalent organic frameworks as single-site catalysts.

Authors:  S M J Rogge; A Bavykina; J Hajek; H Garcia; A I Olivos-Suarez; A Sepúlveda-Escribano; A Vimont; G Clet; P Bazin; F Kapteijn; M Daturi; E V Ramos-Fernandez; F X Llabrés I Xamena; V Van Speybroeck; J Gascon
Journal:  Chem Soc Rev       Date:  2017-06-06       Impact factor: 54.564

10.  Biomolecular Force Field Parameterization via Atoms-in-Molecule Electron Density Partitioning.

Authors:  Daniel J Cole; Jonah Z Vilseck; Julian Tirado-Rives; Mike C Payne; William L Jorgensen
Journal:  J Chem Theory Comput       Date:  2016-04-21       Impact factor: 6.006

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.