Proton Transport in Perfluorinated Ionomer Simulated by Machine-Learned Interatomic Potential-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Proton Transport in Perfluorinated Ionomer Simulated by Machine-Learned Interatomic Potential

Published:2023-04-05 Issue:14 Volume:14 Page:3581-3588
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Jinnouchi Ryosuke¹^ORCID,Minami Saori¹,Karsai Ferenc²,Verdi Carla³,Kresse Georg²³

Affiliation:

1. Toyota Central R&D Laboratories., Inc., 41-1 Yokomichi, Nagakute, Aichi 480-1192, Japan

2. VASP Software GmbH, Sensengasse 8, 1090 Vienna, Austria

3. University of Vienna, Faculty of Physics, Computational Materials Physics, Kolingasse 14-16, 1090 Vienna, Austria

Publisher

American Chemical Society (ACS)

Subject

General Materials Science,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.3c00293

Reference75 articles.

1. Ab Initio Machine Learning in Chemical Compound Space

2. Physics-Inspired Structural Representations for Molecules and Materials

3. Gaussian Process Regression for Materials and Molecules

4. Generalized Neural-Network Representation of High-Dimensional Potential-Energy Surfaces

5. Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons

Cited by 7 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. Grand-Canonical First Principles-Based Calculations of Electrochemical Reactions;Journal of The Electrochemical Society;2024-09-02

2. Machine learning-aided first-principles calculations of redox potentials;npj Computational Materials;2024-05-20

3. Comparing machine learning potentials for water: Kernel-based regression and Behler–Parrinello neural networks;The Journal of Chemical Physics;2024-03-20

4. Machine-learned interatomic potentials: Recent developments and prospective applications;Journal of Materials Research;2023-12-08

5. Applications and training sets of machine learning potentials;Science and Technology of Advanced Materials: Methods;2023-10-30

同舟云学术

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