Quasi-classical trajectory analysis with isometric feature mapping and locally linear embedding: deep insights into the multichannel reaction on an NH3+(4A) potential energy surface
Author:
Affiliation:
1. Key Laboratory of Synthetic and Natural Functional Molecule of the Ministry of Education
2. College of Chemistry and Materials Science
3. Northwest University
4. Xi’an
5. P. R. China
Abstract
Two manifold learning methods, isometric feature mapping and locally linear embedding, are applied to the analysis of quasi-classical trajectories for multi-channel reaction NH+ + H2 → N + H3+/NH2+ + H.
Funder
National Natural Science Foundation of China
National Basic Research Program of China
Publisher
Royal Society of Chemistry (RSC)
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
http://pubs.rsc.org/en/content/articlepdf/2020/CP/D0CP01941K
Reference52 articles.
1. Stretching vibration is a spectator in nucleophilic substitution
2. Discovering Mountain Passes via Torchlight: Methods for the Definition of Reaction Coordinates and Pathways in Complex Macromolecular Reactions
3. Unsupervised machine learning in atomistic simulations, between predictions and understanding
4. I. Jolliffe , Principal Component Analysis , Wiley Online Library , 2002
Cited by 14 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. Unsupervised Machine Learning in the Analysis of Nonadiabatic Molecular Dynamics Simulation;The Journal of Physical Chemistry Letters;2024-09-13
2. Non-IRC Mechanism of Bimolecular Reactions with Submerged Barriers: A Case Study of Si+ + H2O Reaction;The Journal of Physical Chemistry A;2024-03-19
3. Challenges for Kinetics Predictions via Neural Network Potentials: A Wilkinson’s Catalyst Case;Molecules;2023-05-31
4. Visualization of Multi-State Potential Energy Landscape: A Case Study on Photochemical Reaction of Stilbene;Springer Theses;2023
5. Data Quality, Data Sampling and Data Fitting: A Tutorial Guide for Constructing Full-Dimensional Accurate Potential Energy Surfaces (PESs) of Molecules and Reactions;Challenges and Advances in Computational Chemistry and Physics;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3