Many-Body Permutationally Invariant Polynomial Neural Network Potential Energy Surface for N4-Reference-Cited by-同舟云学术

Many-Body Permutationally Invariant Polynomial Neural Network Potential Energy Surface for N4

Published:2020-07-01 Issue:8 Volume:16 Page:4822-4832
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

Li Jun¹²^ORCID,Varga Zoltan³^ORCID,Truhlar Donald G.³^ORCID,Guo Hua¹^ORCID

Affiliation:

1. Department of Chemistry and Chemical Biology, University of New Mexico, Albuquerque, New Mexico 87131, United States

2. School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 400030, China

3. Department of Chemistry, Chemical Theory Center, and Minnesota Supercomputer Institute, University of Minnesota, Minneapolis, Minnesota 55455, United States

Funder

Basic Energy Sciences

Natural Science Foundation of Chongqing

Air Force Office of Scientific Research

Alexander von Humboldt-Stiftung

National Natural Science Foundation of China

Chongqing Talents Plan for Young Talents

Humboldt Research Award

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry,Computer Science Applications

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.0c00430

Reference70 articles.

1. Electron and vibrational kinetics in an N2-H2glow discharge with application to surface processes

2. Non-equilibrium electronic and vibrational kinetics in H2-N2and H2discharges

3. Preferential vibrational excitation in microwave nitrogen plasma assessed by Raman scattering

4. Production of N, H, and NH active species in N2-H2 dc flowing discharges

5. Effect of Vibrational Nonequilibrium on Hypersonic Double-Cone Experiments

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Characteristic Vibrational and Rotational Relaxation Times for Air Species from First-Principles Calculations;Journal of Thermophysics and Heat Transfer;2024-08-23

2. Accelerating wavepacket propagation with machine learning;Journal of Computational Chemistry;2024-06-21

3. A globally accurate neural network potential energy surface and quantum dynamics study of Mg+(2S) + H2 → MgH+ + H reaction;Chemical Physics Letters;2024-05

4. Accurate neural-network-based fitting of full-dimensional N ₂ –Ar and N ₂ –CH ₄ two-body potential energy surfaces aimed at spectral simulations;Molecular Physics;2024-04-30

5. Global Potential Energy Surfaces by Compressed‐State Multistate Pair‐Density Functional Theory for Hyperthermal Collisions in the O₂+O₂ System;ChemPhysChem;2024-04-26