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A computational method for the load spectra of large-scale structures with a data-driven learning algorithm 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
作者:  Chen XJ(陈贤佳);  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei YJ(魏宇杰)
Adobe PDF(2512Kb)  |  收藏  |  浏览/下载：255/80  |  提交时间：2023/02/09
load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network  
Iron-modulated nickel cobalt phosphide embedded in carbon to boost power density of hybrid sodium-air battery 期刊论文
APPLIED CATALYSIS B-ENVIRONMENTAL, 2021, 卷号: 285, 页码: 11
作者:  Kang, Yao;  Wang, Shuo;  Zhu, Siqi;  Gao, Haixing;  Hui, Kwan San;  Yuan, ChengZong;  Yin, Hong;  Bin F(宾峰);  Wu, XiLin;  Mai, Wenjie;  Zhu, Ling;  Hu, Maocong;  Liang, Feng;  Chen, Fuming;  Hui, Kwun Nam
Adobe PDF(7410Kb)  |  收藏  |  浏览/下载：368/126  |  提交时间：2021/04/07
Iron doping  Nickel cobalt phosphide  Electronic structure reformation  DFT calculation  Hybrid sodium-air battery  
High-Throughput Screening of Nitrogen-Coordinated Bimetal Catalysts for Multielectron Reduction of CO2 to CH4 with High Selectivity and Low Limiting Potential 期刊论文
JOURNAL OF PHYSICAL CHEMISTRY C, 2021, 卷号: 125, 期号: 13, 页码: 7155-7165
作者:  Wang Shuo;  Li Lei;  Li Jing;  Yuan Chengzong;  Kang Yao;  Hui Kwan San;  Zhang Jintao;  Bin F(宾峰);  Fan Xi;  Chen Fuming;  Hui Kwun Nam
Adobe PDF(6747Kb)  |  收藏  |  浏览/下载：397/122  |  提交时间：2021/05/17
Six sigma robust design optimization for thermal protection system of hypersonic vehicles based on successive response surface method 期刊论文
CHINESE JOURNAL OF AERONAUTICS, 2019, 卷号: 32, 期号: 9, 页码: 2095-2108
作者:  Zhu JJ;  Wang XJ;  Zhang HG;  Li YW;  Wang RX(王睿星);  Qiu ZP
Adobe PDF(2082Kb)  |  收藏  |  浏览/下载：420/189  |  提交时间：2020/03/21
Hypersonic vehicle  Six sigma robust optimization  Successive response surface  Thermal protection system  Uncertainty  
Machine learning assisted design of high entropy alloys with desired property 期刊论文
ACTA MATERIALIA, 2019, 卷号: 170, 页码: 109-117
作者:  Wen C;  Zhang Y;  Wang CX;  Xue DZ;  Bai Y;  Antonov S;  Dai LH(戴兰宏);  Lookman T;  Su YJ
Adobe PDF(4895Kb)  |  收藏  |  浏览/下载：1382/835  |  提交时间：2019/06/10
Multi-principal element alloys  Active learning  Machine learning  Materials genome initiative