CORC

浏览/检索结果: 共10条,第1-10条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li10GeP2S12 Solid Electrolyte 期刊论文
MATERIALS, 2024, 卷号: 17, 期号: 8, 页码: 14
作者:  Qi, Changlin;  Zhou, Yuwei;  Yuan XZ(袁晓泽);  Peng Q(彭庆);  Yang, Yong
收藏  |  浏览/下载:0/0  |  提交时间:2024/05/27
Inelastic N-2+H-2 collisions and quantum-classical rate coefficients: large datasets and machine learning predictions 期刊论文
EUROPEAN PHYSICAL JOURNAL D, 2023, 卷号: 77, 期号: 7, 页码: 128
作者:  Hong QZ(洪启臻);  Storchi, Loriano;  Bartolomei, Massimiliano;  Pirani, Fernando;  Sun QH(孙泉华)
收藏  |  浏览/下载:18/0  |  提交时间:2023/09/05
Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation 期刊论文
ENERGY & FUELS, 2022, 页码: 20
作者:  Kang DL(康东亮);  Ma J(马骏);  Zhao YP(赵亚溥)
收藏  |  浏览/下载:19/0  |  提交时间:2023/02/03
Predicting the Molecular Models, Types, and Maturity of Kerogen in Shale Using Machine Learning and Multi-NMR Spectra 期刊论文
ENERGY & FUELS, 2022, 页码: 13
作者:  Kang, Dongliang;  Zhao, Ya-Pu
收藏  |  浏览/下载:16/0  |  提交时间:2022/08/10
A review of machine learning in geochemistry and cosmochemistry: Method improvements and applications 期刊论文
APPLIED GEOCHEMISTRY, 2022, 卷号: 140, 页码: 13
作者:  He, Yuyang;  Zhou, You;  Wen, Tao;  Zhang, Shuang;  Huang, Fang
收藏  |  浏览/下载:22/0  |  提交时间:2022/07/18
SPONGE: A GPU-Accelerated Molecular Dynamics Package with Enhanced Sampling and AI-Driven Algorithms 期刊论文
CHINESE JOURNAL OF CHEMISTRY, 2022, 卷号: 40, 期号: 1, 页码: 160-168
作者:  Huang YP;  Xia YJ;  Yang LJ;  Wei JC(韦佳辰);  Yang YI
收藏  |  浏览/下载:46/0  |  提交时间:2022/01/13
Machine learning atomic-scale stiffness in metallic glass 期刊论文
EXTREME MECHANICS LETTERS, 2021, 卷号: 48, 页码: 5
作者:  Peng ZH(彭正瀚);  Yang ZY(杨增宇);  Wang YJ(王云江)
收藏  |  浏览/下载:73/0  |  提交时间:2021/09/08
Machine learning assisted fast prediction of inertial lift in microchannels 期刊论文
LAB ON A CHIP, 2021, 页码: 13
作者:  Su JH(苏敬宏);  Chen XD(陈晓东);  Zhu YZ(朱勇铮);  Hu GQ(胡国庆)
收藏  |  浏览/下载:52/0  |  提交时间:2021/06/07
Predicting the components and types of kerogen in shale by combining machine learning with NMR spectra 期刊论文
FUEL, 2021, 卷号: 290, 页码: 10
作者:  Kang DL(康东亮);  Wang XH(王晓荷);  Zheng XJ(郑晓娇);  Zhao YP(赵亚溥)
收藏  |  浏览/下载:37/0  |  提交时间:2021/03/30
Thermal conductivity modeling using machine learning potentials: application to crystalline and amorphous silicon 期刊论文
MATERIALS TODAY PHYSICS, 2019, 卷号: 10, 页码: UNSP 100140
作者:  Qian X.;  彭神佑.;  Li X.;  Wei YJ(魏宇杰);  Yang R.
收藏  |  浏览/下载:46/0  |  提交时间:2020/03/21


©版权所有 ©2017 CSpace - Powered by CSpace