Origins of complex solvent effects on chemical reactivity and computational tools to investigate them: a review

JJ Varghese, SH Mushrif - Reaction Chemistry & Engineering, 2019 - pubs.rsc.org
Solvents are crucial components in specialty chemical and pharmaceutical industries and in
electrochemical and photoelectrochemical processes, and are increasingly being used in …

Review of force fields and intermolecular potentials used in atomistic computational materials research

JA Harrison, JD Schall, S Maskey, PT Mikulski… - Applied Physics …, 2018 - pubs.aip.org
Molecular simulation is a powerful computational tool for a broad range of applications
including the examination of materials properties and accelerating drug discovery. At the …

Machine-learning interatomic potentials for materials science

Y Mishin - Acta Materialia, 2021 - Elsevier
Large-scale atomistic computer simulations of materials rely on interatomic potentials
providing computationally efficient predictions of energy and Newtonian forces. Traditional …

Physically informed artificial neural networks for atomistic modeling of materials

GPP Pun, R Batra, R Ramprasad, Y Mishin - Nature communications, 2019 - nature.com
Large-scale atomistic computer simulations of materials heavily rely on interatomic
potentials predicting the energy and Newtonian forces on atoms. Traditional interatomic …

Graphitization of amorphous carbons: A comparative study of interatomic potentials

C de Tomas, I Suarez-Martinez, NA Marks - Carbon, 2016 - Elsevier
We perform a comparative study of six common carbon interatomic potentials: Tersoff, REBO-
II, ReaxFF, EDIP, LCBOP-I and COMB3. To ensure fair comparison, all the potentials are …

Classical atomistic simulations of surfaces and heterogeneous interfaces with the charge-optimized many body (COMB) potentials

T Liang, TR Shan, YT Cheng, BD Devine… - Materials Science and …, 2013 - Elsevier
Interest in atomic scale computational simulations of multi-phase systems has grown as our
ability to simulate nanometer-sized systems has become commonplace. The recently …

Unified graph neural network force-field for the periodic table: solid state applications

K Choudhary, B DeCost, L Major, K Butler… - Digital …, 2023 - pubs.rsc.org
Classical force fields (FFs) based on machine learning (ML) methods show great potential
for large scale simulations of solids. MLFFs have hitherto largely been designed and fitted …

Large-scale computations in chemistry: a bird's eye view of a vibrant field

AV Akimov, OV Prezhdo - Chemical reviews, 2015 - ACS Publications
1.1. The Meaning of “Large Scale” In general, the term “large scale” can have one of the
following five meanings in computational chemistry:(1) large size: power-law and …

Reactive potentials for advanced atomistic simulations

T Liang, YK Shin, YT Cheng, DE Yilmaz… - Annual review of …, 2013 - annualreviews.org
This article reviews recent advances in the development of reactive empirical force fields or
potentials. In particular, we compare two widely used reactive potentials with variable …

Hydrolytic degradation of polylactic acid fibers as a function of ph and exposure time

R Vaid, E Yildirim, MA Pasquinelli, MW King - Molecules, 2021 - mdpi.com
Polylactic acid (PLA) is a widely used bioresorbable polymer in medical devices owing to its
biocompatibility, bioresorbability, and biodegradability. It is also considered a sustainable …