A Surface Stacking Fault Energy Approach to Predicting Defect Nucleation in Surface-Dominated Nanostructures
Jin-Wu Jiang, Austin M. Leach, Ken Gall, Harold S. Park, Timon Rabczuk

TL;DR
This paper introduces a surface stacking fault energy method to predict defect nucleation mechanisms in surface-dominated nanostructures, validated through molecular dynamics simulations and applicable across various geometries and conditions.
Contribution
The paper presents a novel SSF energy approach that accurately predicts whether slip or twinning initiates in nanostructures, considering complex deformation mechanisms and geometries.
Findings
Successfully predicts initial deformation mode in copper nanowires.
Validates the approach against molecular dynamics simulations.
Demonstrates applicability across different nanowire geometries.
Abstract
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 leads to a criteria that predicts the initial yield mechanism via either slip or twinning depending on whether the unstable twinning energy or unstable slip energy is smaller as determined from the resulting SSF energy curve. 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 nanowires, and also for moving…
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