Jin-Wu Jiang, Austin M. Leach, Ken Gall, Harold S. Park, Timon Rabczuk
We present a surface stacking fault (SSF) energy approach to predicting defect nucleation from the surfaces of surface-dominated nanostructure such as FCC metal nanowires. The approach is validated through a comparison between the SSF energy calculation and low-temperature classical molecular dynamics simulations of copper nanowires with different axial and transverse surface orientations, and cross sectional geometries. We focus on the effects of the geometric cross section by studying the transition from slip to twinning previously predicted in moving from a square to rectangular cross section for <100>/{100} nanowires, and also for moving from a rhombic to truncated rhombic cross sectional geometry for <110> nanowires. We show that the SSF energy criteria successfully predicts the initial mode of surface-nucleated plasticity at low temperature, while also discussing the effects of strain and temperature on the applicability of the criterion.
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http://arxiv.org/abs/1210.3547
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