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Enabling quantitative analysis of in situ TEM experiments: A high-throughput, deep learning-based approach tailored to the dynamics of dislocations 期刊论文
ACTA MATERIALIA, 2025, 卷号: 282, 页码: 120455./通讯作者:Sandfeld S
Authors:  Song HX(宋恒旭);  Nguyen, Binh Duong;  Govind, Kishan;  Berta, Denes;  Ispanovity, Peter Dusan;  Legros, Marc;  Sandfeld, Stefan
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Dislocation avalanche  Deep learning  High-entropy alloy  In situ TEM  
A new solver for granular avalanche simulation: Indoor experiment verification and field scale case study 期刊论文
SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2017, 卷号: 60, 期号: 12
Authors:  Wang XL(王晓亮);  Li JC(李家春);  Li, JC (reprint author), Chinese Acad Sci, Inst Mech, Key Lab Mech Fluid Solid Coupling Syst, Beijing 100190, Peoples R China.;  Li, JC (reprint author), Univ Chinese Acad Sci, Sch Engn Sci, Beijing 100049, Peoples R China.
View  |  Adobe PDF(3398Kb)  |  Favorite  |  View/Download:766/200  |  Submit date:2017/12/18
Avalanche  Landslide  Waf  Tvd