Machine-Learning Prediction of Atomistic Stress along Grain Boundaries
Author:
Publisher
Elsevier BV
Subject
Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials
Reference73 articles.
1. Dislocation interactions with grain boundaries;Kacher;Curr. Opin. Solid State Mater. Sci.,2014
2. A maximum in the strength of nanocrystalline copper;Schiøtz;Science,2003
3. The deformation and ageing of mild steel: III discussion of results;Hall;Proc. Phys. Soc. B,1951
4. The cleavage strength of polycrystals;Petch;J. Iron Steel Inst.,1953
5. Competing plastic deformation mechanisms in nanophase metals;Van Swygenhoven;Phy. Rev. B,1999
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. Rapid prediction of grain boundary network evolution in nanomaterials utilizing a generative machine learning approach;Extreme Mechanics Letters;2024-08
2. Dislocation descriptors of low and high angle grain boundaries with convolutional neural networks;Extreme Mechanics Letters;2024-05
3. Grain boundary plasticity initiated by excess volume;Proceedings of the National Academy of Sciences;2024-03-13
4. Integrating uncertainty into deep learning models for enhanced prediction of nanocomposite materials’ mechanical properties;APL Machine Learning;2024-02-22
5. Grain Boundary Tailors the Local Chemical Environment on Iridium Surface for Alkaline Electrocatalytic Hydrogen Evolution;Angewandte Chemie International Edition;2024-01-11
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