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Radiation damage accumulation mechanisms at iron grain boundaries revealed by coupled atomic and coarse-grained simulations via the parameter-passing and structural feedback 期刊论文
JOURNAL OF NUCLEAR MATERIALS, 2022, 卷号: 572
作者:  Li, Xiangyan;  Li, Xiaolin;  Zhang, Yange;  Xu, Yichun;  Wu, Xuebang;  Wang, Xianping;  Liu, C. S.;  Fang, Q. F.
收藏  |  浏览/下载:41/0  |  提交时间:2022/12/23
Grain boundary  Multiscale simulation  Structural relaxation  Defects clusters  

Towards the dependence of radiation damage on the grain boundary character and grain size in tungsten: A combined study of molecular statics and rate theory

期刊论文

JOURNAL OF NUCLEAR MATERIALS, 2022, 卷号: 563
作者:  Li, Xiaolin;  Wang, Yuxuan;  Zhang, Yange;  Xu, Yichun;  Li, Xiang-Yan;  Wang, Xianping;  Fang, Q. F.;  Wu, Xuebang;  Liu, C. S.
收藏  |  浏览/下载:38/0  |  提交时间:2022/12/23
Radiation damage  Nanocrystal  Grain size refinement  Grain boundary character  Rate theory  
Prediction of vacancy formation energies at tungsten grain boundaries from local structure via machine learning method 期刊论文
JOURNAL OF NUCLEAR MATERIALS, 2022, 卷号: 559
作者:  Wang, Yuxuan;  Li, Xiaolin;  Li, Xiangyan;  Zhang, Yuxiang;  Zhang, Yange;  Xu, Yichun;  Lei, Yawei;  Liu, C. S.;  Wu, Xuebang
收藏  |  浏览/下载:29/0  |  提交时间:2022/12/23
Vacancy formation energy  Machine learning  Tungsten  Symmetry tilt grain boundary  Support vector machine  Cross validation  
Effect of Nano-Y2O3 Content on Microstructure and Mechanical Properties of Fe18Cr Films Fabricated by RF Magnetron Sputtering 期刊论文
NANOMATERIALS, 2021, 卷号: 11
作者:  Zhao, Bang-Lei;  Wang, Le;  Zhang, Li-Feng;  Ke, Jian-Gang;  Xie, Zhuo-Ming;  Yang, Jun-Feng;  Wang, Xian-Ping;  Hao, Ting;  Liu, Chang-Song;  Wu, Xue-Bang
收藏  |  浏览/下载:96/0  |  提交时间:2021/08/30
FeCr-based films  oxide dispersion strengthening  nanoindentation hardness  
Surface blistering and deuterium retention behaviors in pure and ZrC-doped tungsten exposed to deuterium plasma 期刊论文
Nuclear Fusion, 2021, 卷号: 61
作者:  Zhang,Xue-Xi;  Qiao,Li;  Zhang,Hong;  Li,Yu-Hong;  Wang,Peng;  Liu,Chang-Song
收藏  |  浏览/下载:49/0  |  提交时间:2021/04/26
W  W-ZrC alloy  D plasma  surface blistering  D retention  
Investigation of the dissolution and diffusion properties of interstitial oxygen at grain boundaries in body-centered-cubic iron by the first-principles study 期刊论文
RSC ADVANCES, 2021, 卷号: 11
作者:  Liu, Zhijie;  Zhang, Yange;  Li, Xiangyan;  Xu, Yichun;  Wu, Xuebang;  Liu, Changsong;  Kong, Xiangshan;  Yao, Cunfeng;  Wang, Zhiguang
收藏  |  浏览/下载:51/0  |  提交时间:2021/05/10
Recent Advances on Interface Design and Preparation of Advanced Tungsten Materials for Plasma Facing Materials 期刊论文
JOURNAL OF FUSION ENERGY, 2021
作者:  Wu, Xuebang;  Li, Xiangyan;  Zhang, Yange;  Xu, Yichun;  Liu, Wei;  Xie, Zhuoming;  Liu, Rui;  Luo, Guang-Nan;  Liu, Xiang;  Liu, C. S.
收藏  |  浏览/下载:47/0  |  提交时间:2021/03/15
Grain boundary  Interface  Tungsten  Simulation  Plasma facing materials  
Recent Advances on Interface Design and Preparation of Advanced Tungsten Materials for Plasma Facing Materials 期刊论文
JOURNAL OF FUSION ENERGY, 2021
作者:  Wu, Xuebang;  Li, Xiangyan;  Zhang, Yange;  Xu, Yichun;  Liu, Wei;  Xie, Zhuoming;  Liu, Rui;  Luo, Guang-Nan;  Liu, Xiang;  Liu, C. S.
收藏  |  浏览/下载:48/0  |  提交时间:2021/03/15
Grain boundary  Interface  Tungsten  Simulation  Plasma facing materials  
Insight into interface cohesion and impurity-induced embrittlement in carbide dispersion strengthen tungsten from first principles 期刊论文
JOURNAL OF NUCLEAR MATERIALS, 2020, 卷号: 538
作者:  Wu, Xuebang;  Zhang, Xu;  Xie, Z. M.;  Li, Xiangyan;  Miranda, C. R.;  Liu, C. S.
收藏  |  浏览/下载:36/0  |  提交时间:2020/10/26
Interfaces  Cohesion  Interfacial segregation  Tungsten  First-principles calculations  
Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network 期刊论文
METALS, 2020, 卷号: 10
作者:  Wang, Yuxuan;  Wu, Xuebang;  Li, Xiangyan;  Xie, Zhuoming;  Liu, Rui;  Liu, Wei;  Zhang, Yange;  Xu, Yichun;  Liu, Changsong
收藏  |  浏览/下载:53/0  |  提交时间:2020/11/26
austenitic stainless steel  tensile properties  artificial neural network  MIV analysis