1 citations · 1 across the 3 of their papers we have counts for
3 papers
Predicting void nucleation in microstructure with convolutional neural networks
Abhijith Thoopul Anantharanga, Jackson Plummer, Saryu Fensin +1
Void nucleation in ductile materials subjected to high strain-rate loading remains a critical yet elusive phenomenon to understand. Traditional methods to understand void nucleatio…
The structure and migration of twin boundaries in tetragonal -Sn: an application of machine learning based interatomic potentials
Ian Chesser, Mashroor Nitol, Esther C. Hessong +7
Although atomistic simulations have contributed significantly to our understanding of twin boundary structure and migration in metals and alloys with hexagonal close packed (HCP) c…
Energetics of the nucleation and glide of disconnection modes in symmetric tilt grain boundaries
Himanshu Joshi, Ian Chesser, Brandon Runnels +1
GBs evolve by the nucleation and glide of disconnections, which are dislocations with a step character. In this work, motivated by recent success in predicting GB properties such a…