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Dislocation reactions dominated pop-in events in nanoindentation of Ni-based single crystal superalloys 期刊论文
MATERIALS CHARACTERIZATION, 2023, 卷号: 200, 页码: 112883
作者:  Zhang ZW(张志伟);  Cai, Wei;  Feng YH(冯义辉);  Duan GH(段桂花);  Wang J(王晶);  Wang J(王军);  Yang R(杨荣);  Xiao P(肖攀);  Ke FJ(柯孚久);  Lu CS(卢春生)
Adobe PDF(6281Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/06/15
Ni-based single crystal superalloys  Pop -in events  Dislocation reactions  Nanoindentation  Molecular dynamics  
Deformation-induced phase transformation in 4H-SiC nanopillars 期刊论文
Acta Materialia, 2014, 卷号: 80, 页码: 392-399
作者:  Chen B;  Wang J(王军);  Zhu YW;  Liao XZ;  Lu CS;  Mai YW;  Ringer SP;  Ke FJ(柯孚久);  Shen YG;  Liao, XZ (reprint author), Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia.
浏览  |  Adobe PDF(1781Kb)  |  收藏  |  浏览/下载：603/133  |  提交时间：2014/12/18
Sic Nanopillars  Phase Transformation  In Situ Deformation  Transmission Electron Microscopy  Molecular Dynamics  
Strengthening brittle semiconductor nanowires through stacking faults: Insights from in situ mechanical testing 期刊论文
NANO LETTERS, 2013, 卷号: 13, 期号: 9, 页码: 4369-4373
作者:  Chen B;  Wang J(王军);  Gao Q;  Chen YJ;  Liao XZ;  Lu CS;  Tan HH;  Mai YW;  Zou J;  Ringer SP;  Gao HJ;  Jagadish C;  Liao, XZ (reprint author), Univ Sydney, Sch Aerosp Mech & Mechatron Engn, Sydney, NSW 2006, Australia.
Adobe PDF(306Kb)  |  收藏  |  浏览/下载：776/314  |  提交时间：2013/12/23
Gaas Nanowires  Strengthening  Stacking Fault  In Situ Deformation  Molecular Dynamics  Transmission Electron Microscopy  
The degree of predictability of earthquakes in several regions of China: statistical analysis of historical data 期刊论文
Journal of Asian Earth Sciences, 2005, 卷号: 25, 期号: 2, 页码: 379-385
作者:  Lu CS(卢春生);  Lu, CS (reprint author), Univ Sydney, Sch Aerosp Mech & Mechatron Engn, CAMT, Sydney, NSW 2006, Australia.
Adobe PDF(250Kb)  |  收藏  |  浏览/下载：566/149  |  提交时间：2009/08/03
Spatio-temporal Seismicity  Stress Release Model  Degree Of Predictability  Historical Earthquake Data In chIna  Stress Release Model  Prediction  Sequence