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A prediction model of erosion rate under erosion-tension coupling for engine blade 期刊论文
WEAR, 2025, 卷号: 560, 页码: 13
作者:  Zhang, Yu;  Jia, Yun-Fei;  Sun, Xin-Wei;  Fang, Zhen-Hua;  Yan, Jian-Jun;  Zhang, Cheng-Cheng;  Xin, Li;  Zhang, Xian-Cheng
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Erosion model  Erosion-tension coupling  Engine blade  Erosion rate prediction  Fluid-structure interaction  
A prediction model of erosion rate under erosion-tension coupling for engine blade 期刊论文
WEAR, 2025, 卷号: 560, 页码: 13
作者:  Zhang, Yu;  Jia, Yun-Fei;  Sun, Xin-Wei;  Fang, Zhen-Hua;  Yan, Jian-Jun;  Zhang, Cheng-Cheng;  Xin, Li;  Zhang, Xian-Cheng
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
Erosion model  Erosion-tension coupling  Engine blade  Erosion rate prediction  Fluid-structure interaction  
The Role of Long-Range Interactions Between High-Entropy Single-Atoms in Catalyzing Sulfur Conversion Reactions 期刊论文
ADVANCED MATERIALS, 2025, 页码: 9
作者:  Zhang, Yu;  Yu, Tong;  Xiao, Ru;  Tang, Pei;  Fang, Ruopian;  Li, Zhuangnan;  Cheng, Hui-Ming;  Sun, Zhenhua;  Li, Feng
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
high-entropy single-atom catalysts  lithium-sulfur batteries  long-range interactions  sulfur conversion reactions kinetics  synergistic effect  
A thermal evaporation-trapping strategy to synthesize flexible and robust oxygen electrocatalysts for rechargeable zinc-air batteries 期刊论文
ENERGY & ENVIRONMENTAL SCIENCE, 2024, 卷号: 17, 期号: 23, 页码: 9375-9382
作者:  Zhang, Hong-Bo;  Meng, Yu;  Fang, Lingzhe;  Yang, Fei;  Zhu, Shangqian;  Li, Tao;  Yu, Xiaohua;  Rong, Ju;  Chen, Weiwei;  Su, Dong;  Mei, Yi;  Hou, Peng-Xiang;  Liu, Chang;  Shao, Minhua;  Li, Jin-Cheng
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
Activity Quenching of H2O by Donor Interaction for Lithium-Based Batteries 期刊论文
ACS ENERGY LETTERS, 2024, 页码: 7
作者:  Guo, Zhenqiang;  Yang, Huicong;  Yan, Yukun;  Tang, Pei;  Wang, Tianyue;  Piao, Nan;  Hu, Tianzhao;  Fang, Ruopian;  Hu, Guangjian;  Bai, Shuo;  Hou, Guangjin;  Cheng, Hui-Ming;  Li, Feng
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Surface engineering strategy to synthesize bicomponent carbons for rechargeable zinc-air batteries 期刊论文
ENERGY STORAGE MATERIALS, 2024, 卷号: 70, 页码: 8
作者:  An, Jia-Xing;  Meng, Yu;  Fang, Lingzhe;  Lyu, Zhaoyuan;  Tang, Selene;  Li, Tao;  Liu, Chang;  Shin, Hamin;  Lee, Jiyoung;  Ding, Shichao;  Kim, Il-Doo;  Li, Jin-Cheng
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
Surface engineering  Single atom  Nanoparticle  Oxygen electrocatalytic reaction  Zinc -air battery  
Surface engineering strategy to synthesize bicomponent carbons for rechargeable zinc-air batteries 期刊论文
ENERGY STORAGE MATERIALS, 2024, 卷号: 70, 页码: 8
作者:  An, Jia-Xing;  Meng, Yu;  Fang, Lingzhe;  Lyu, Zhaoyuan;  Tang, Selene;  Li, Tao;  Liu, Chang;  Shin, Hamin;  Lee, Jiyoung;  Ding, Shichao;  Kim, Il-Doo;  Li, Jin-Cheng
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Surface engineering  Single atom  Nanoparticle  Oxygen electrocatalytic reaction  Zinc -air battery  
Microstructure, elastic/mechanical and thermal properties of CrTaO4: A new thermal barrier material? 期刊论文
JOURNAL OF ADVANCED CERAMICS, 2024, 卷号: 13, 期号: 3, 页码: 373-387
作者:  Zhang, Shuang;  Wang, Xiaohui;  Zhang, Chao;  Xiang, Huimin;  Li, Yingwei;  Fang, Cheng;  Li, Mingliang;  Wang, Hailong;  Zhou, Yanchun
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
CrTaO 4  synthesis  microstructure  mechanical and thermal properties  melting point  thermal conductivity  thermal expansion coefficient  
Interfacial engineering of transition metal dichalcogenide/carbon heterostructures for electrochemical energy applications 期刊论文
CHEMICAL SOCIETY REVIEWS, 2023, 卷号: 52, 期号: 22, 页码: 7802-7847
作者:  Chen, Biao;  Sui, Simi;  He, Fang;  He, Chunnian;  Cheng, Hui-Ming;  Qiao, Shi-Zhang;  Hu, Wenbin;  Zhao, Naiqin
收藏  |  浏览/下载：7/0  |  提交时间：2024/01/07
Machine learning-based crystal structure prediction for high-entropy oxide ceramics 期刊论文
JOURNAL OF THE AMERICAN CERAMIC SOCIETY, 2023, 页码: 11
作者:  Liu, Jicheng;  Wang, Anzhe;  Gao, Pan;  Bai, Rui;  Liu, Junjie;  Du, Bin;  Fang, Cheng
收藏  |  浏览/下载：18/0  |  提交时间：2024/01/07
crystals/crystallization  machine learning  modeling/model  oxides