Combining machine learning and computational chemistry for predictive insights into chemical systems

JA Keith, V Vassilev-Galindo, B Cheng… - Chemical …, 2021 - ACS Publications
Machine learning models are poised to make a transformative impact on chemical sciences
by dramatically accelerating computational algorithms and amplifying insights available from …

[HTML][HTML] Classical and reactive molecular dynamics: Principles and applications in combustion and energy systems

Q Mao, M Feng, XZ Jiang, Y Ren, KH Luo… - Progress in Energy and …, 2023 - Elsevier
Molecular dynamics (MD) has evolved into a ubiquitous, versatile and powerful
computational method for fundamental research in science branches such as biology …

LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

AP Thompson, HM Aktulga, R Berger… - Computer Physics …, 2022 - Elsevier
Since the classical molecular dynamics simulator LAMMPS was released as an open source
code in 2004, it has become a widely-used tool for particle-based modeling of materials at …

UItra-low friction and edge-pinning effect in large-lattice-mismatch van der Waals heterostructures

M Liao, P Nicolini, L Du, J Yuan, S Wang, H Yu… - Nature Materials, 2022 - nature.com
Two-dimensional heterostructures are excellent platforms to realize twist-angle-independent
ultra-low friction due to their weak interlayer van der Waals interactions and natural lattice …

QuantumATK: an integrated platform of electronic and atomic-scale modelling tools

S Smidstrup, T Markussen… - Journal of Physics …, 2019 - iopscience.iop.org
QuantumATK is an integrated set of atomic-scale modelling tools developed since 2003 by
professional software engineers in collaboration with academic researchers. While different …

Gram-scale bottom-up flash graphene synthesis

DX Luong, KV Bets, WA Algozeeb, MG Stanford… - Nature, 2020 - nature.com
Most bulk-scale graphene is produced by a top-down approach, exfoliating graphite, which
often requires large amounts of solvent with high-energy mixing, shearing, sonication or …

Correlated states in twisted double bilayer graphene

C Shen, Y Chu, QS Wu, N Li, S Wang, Y Zhao, J Tang… - Nature Physics, 2020 - nature.com
Electron–electron interactions play an important role in graphene and related systems and
can induce exotic quantum states, especially in a stacked bilayer with a small twist angle …

Elastic straining of free-standing monolayer graphene

K Cao, S Feng, Y Han, L Gao, T Hue Ly, Z Xu… - Nature …, 2020 - nature.com
The sp2 nature of graphene endows the hexagonal lattice with very high theoretical
stiffness, strength and resilience, all well-documented. However, the ultimate stretchability of …

Deep potential molecular dynamics: a scalable model with the accuracy of quantum mechanics

L Zhang, J Han, H Wang, R Car, WE - Physical review letters, 2018 - APS
We introduce a scheme for molecular simulations, the deep potential molecular dynamics
(DPMD) method, based on a many-body potential and interatomic forces generated by a …

Complex reaction processes in combustion unraveled by neural network-based molecular dynamics simulation

J Zeng, L Cao, M Xu, T Zhu, JZH Zhang - Nature communications, 2020 - nature.com
Combustion is a complex chemical system which involves thousands of chemical reactions
and generates hundreds of molecular species and radicals during the process. In this work …