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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
Favorite  |  View/Download：11/0  |  Submit date：2024/12/02
Dislocation avalanche  Deep learning  High-entropy alloy  In situ TEM  
Breakdown of Archard law due to transition of wear mechanism from plasticity to fracture 期刊论文
TRIBOLOGY INTERNATIONAL, 2022, 卷号: 173, 页码: 13./通讯作者：Song, Hengxu, Liu, Xiaoming
Authors:  Hu JQ(胡剑桥);  Song, Hengxu;  Sandfeld, Stefan;  Liu XM(刘小明);  Wei, Yueguang
Adobe PDF(2052Kb)  |  Favorite  |  View/Download：453/120  |  Submit date：2022/07/18
Archard wear law  Molecular dynamics  Asperity plowing  Dislocation plasticity  Fractured debris