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First-principles modeling of passivation behaviors of stainless steels in corrosive environments 期刊论文
JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY, 2025, 卷号: 229, 页码: 58-66
作者:  Xu, Wenjing;  Bao, Ergen;  Si, Yueqi;  Ma, Hui;  Liu, Peitao;  Sun, Yan;  Shi, Yongpeng;  Chen, Xing-Qiu
收藏  |  浏览/下载：6/0  |  提交时间：2025/04/27
Passivation  Modeling  First-principles calculation  Stainless steel  
Theoretical mechanisms and experimental validation of hard vs soft carbon coatings for enhanced silicon anode performance 期刊论文
CHEMICAL ENGINEERING JOURNAL, 2025, 卷号: 509, 页码: 10
作者:  Zhao, Peng;  Liu, Cai;  Liu, Boyuan;  Lu, Keren;  Jing, Haiyan;  Xia, Xifeng;  Xia, Mingzhu;  Han, Shuai;  Mandler, Daniel;  Lei, Wu;  Guo, Qiubo;  Hao, Qingli
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
HC/SC coatings  Ionic-electronic conductivity  Electrolyte selective permeation  Mechanical properties  Guidance of theoretical calculation  
Accelerating phase-field simulation of multi-component alloy solidification by shallow artificial neural network 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 248, 页码: 9
作者:  Gong, Tongzhao;  Hao, Weiye;  Fan, Weiqi;  Chen, Yun;  Chen, Xing-Qiu;  Li, Dianzhong
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Phase-field method  Machine learning  Solidification  Multi-component alloy  Calculation of phase diagram  
Accelerating phase-field simulation of multi-component alloy solidification by shallow artificial neural network 期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2025, 卷号: 248, 页码: 9
作者:  Gong, Tongzhao;  Hao, Weiye;  Fan, Weiqi;  Chen, Yun;  Chen, Xing-Qiu;  Li, Dianzhong
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
Phase-field method  Machine learning  Solidification  Multi-component alloy  Calculation of phase diagram  
In-depth research into the synergistic inhibition mechanism of amino acids and KI on the corrosion of carbon steel in acidic medium 期刊论文
JOURNAL OF SOLID STATE ELECTROCHEMISTRY, 2025, 页码: 20
作者:  Liu, Xia;  Wu, Shihan;  Qin, Ying;  Zhang, Yulu;  Li, Wenhao;  Wang, Zhengbin
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Corrosion inhibitor  Amino acid  Synergistic inhibition mechanism  Theoretical calculation  
A deep insight of re-entrant martensitic transformation mechanism in Co2Cr(Ga,Si) shape memory alloys 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2024, 卷号: 1008, 页码: 7
作者:  Zhao, Wenbin;  Zhao, Yi;  Li, Jian;  Tan, Changlong;  Zhang, Kun
收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27
Re-entry martensitic transformation  SMAs  First-principle calculation  Fermi Surface  The minimum energy path  
A deep insight of re-entrant martensitic transformation mechanism in Co2Cr(Ga,Si) shape memory alloys 期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2024, 卷号: 1008, 页码: 7
作者:  Zhao, Wenbin;  Zhao, Yi;  Li, Jian;  Tan, Changlong;  Zhang, Kun
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Re-entry martensitic transformation  SMAs  First-principle calculation  Fermi Surface  The minimum energy path  
Unveiling the mechanisms behind texture formation and its impact on the torsional performance of cold-drawn pearlitic steel wires 期刊论文
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2024, 卷号: 332, 页码: 13
作者:  Jia, Chunni;  Cai, Rui;  Yang, Zhendan;  Zhao, Yong;  Liu, Tengyuan;  Wang, Pei;  Li, Dianzhong
收藏  |  浏览/下载：2/0  |  提交时间：2025/04/27
Pearlitic steel  Cold drawing  Texture  Torsion  Multi-scale calculation  
Unveiling the mechanisms behind texture formation and its impact on the torsional performance of cold-drawn pearlitic steel wires 期刊论文
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2024, 卷号: 332, 页码: 13
作者:  Jia, Chunni;  Cai, Rui;  Yang, Zhendan;  Zhao, Yong;  Liu, Tengyuan;  Wang, Pei;  Li, Dianzhong
收藏  |  浏览/下载：4/0  |  提交时间：2025/04/27
Pearlitic steel  Cold drawing  Texture  Torsion  Multi-scale calculation  
Machine Learning Model for Predicting the Critical Transition Temperature of Hydride Superconductors 期刊论文
ACTA METALLURGICA SINICA, 2024, 卷号: 60, 期号: 10, 页码: 1418-1428
作者:  Zhao, Jinbin;  Wang, Jiantao;  He, Dongchang;  Li, Junlin;  Sun, Yan;  Chen, Xing-Qiu;  Liu, Peitao
收藏  |  浏览/下载：3/0  |  提交时间：2025/04/27
hydride superconductor  superconducting transition temperature  machine learning  random forest  first-principles calculation