Jin Dai 个人学术档案 - 学术资源搜索

引用次数

	总计	2020 年至今
引用	55	50
h 指数	3	3
i10 指数	3	3

0

14

7

201820192020202120222023202420252 3 10 6 11 14 8 1

开放获取的出版物数量

1 篇文章

0 篇文章

可查看的文章

无法查看的文章

根据资助方的强制性开放获取政策

合著作者

Wei LaiMichigan State University在 msu.edu 的电子邮件经过验证
Matthew KlenkMichigan State University在 msu.edu 的电子邮件经过验证
Tobias GlossmannMercedes-Benz Research & Development North America在 mercedes-benz.com 的电子邮件经过验证
Qian Chen, Ph.D.Johns Hopkins University School of Medicine在 jhmi.edu 的电子邮件经过验证
Mingjian WenAssistant Professor, University of Houston在 uh.edu 的电子邮件经过验证
Santosh AdhikariPostdoc, University of Houston在 central.uh.edu 的电子邮件经过验证

Jin Dai

Jin Dai

University of Houston

在 central.uh.edu 的电子邮件经过验证

machine learning molecular dynamics simulations Li-ion Battery


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Lithium self-diffusion in a model lithium garnet oxide Li5La3Ta2O12: A combined quasi-elastic neutron scattering and molecular dynamics study MJ Klenk, SE Boeberitz, J Dai, NH Jalarvo, VK Peterson, W Lai Solid State Ionics 312, 1-7, 2017	29	2017
Comparison of interatomic potential models on the molecular dynamics simulation of fast-ion conductors: a case study of a Li garnet oxide Li7La3Zr2O12 J Dai, Q Chen, T Glossmann, W Lai Computational Materials Science 162, 333-339, 2019	15	2019
Study of diffusion and conduction in lithium garnet oxides Li x La 3 Zr x− 5 Ta 7− x O 12 by machine learning interatomic potentials J Dai, Y Jiang, W Lai Physical Chemistry Chemical Physics 24 (24), 15025-15033, 2022	10	2022
Uncertainty quantification and propagation in atomistic machine learning J Dai, S Adhikari, M Wen De Gruyter, 2024	1	2024
Cartesian Atomic Moment Machine Learning Interatomic Potentials M Wen, WF Huang, J Dai, S Adhikari arXiv, 2024		2024

系统目前无法执行此操作，请稍后再试。

文章 1–5