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Developing General Reactive Element-Based Machine Learning Potentials as the Main Computational Engine for Heterogeneous Catalysis 预印本
2024
作者:  Yang, Changxi;  Wu, Chenyu;  Xie, Wenbo;  Xie, Daiqian;  Hu, Peijun
Adobe PDF(3074Kb)  |  收藏  |  浏览/下载：261/55  |  提交时间：2024/11/11
Unravelling the Impact of Metal Dopants and Oxygen Vacancies on Syngas Conversion over Oxides: A Machine Learning-Accelerated Study of CO Activation on Cr-Doped ZnO Surfaces 期刊论文
ACS CATALYSIS, 2023, 卷号: 13, 期号: 22, 页码: 15074-15086
作者:  Han, Yulan;  Xu, Jiayan;  Xie, Wenbo;  Wang, Zhuozheng;  Hu, P.
Adobe PDF(7789Kb)  |  收藏  |  浏览/下载：251/1  |  提交时间：2023/12/22
Comprehensive Study of Oxygen Vacancies on the Catalytic Performance of ZnO for CO/H2 Activation Using Machine Learning-Accelerated First-Principles Simulations 期刊论文
ACS CATALYSIS, 2023, 卷号: 13, 期号: 8, 页码: 5104-5113
作者:  Han, Yulan;  Xu, Jiayan;  Xie, Wenbo;  Wang, Zhuozheng
Adobe PDF(3927Kb)  |  收藏  |  浏览/下载：267/0  |  提交时间：2023/04/14
Predictive switch-controller association and control devolution for SDN systems 会议论文
PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON QUALITY OF SERVICE, IWQOS 2019, Phoenix, AZ, United states, June 24, 2019 - June 25, 2019
作者:  Huang, Xi;  Bian, Simeng;  Shao, Ziyu;  Xu, Hong
Adobe PDF(3587Kb)  |  收藏  |  浏览/下载：274/99  |  提交时间：2022/12/09
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