707 citations · 1.3k across the 16 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cond-mat.mtrl-sci2020★ 34 cited
Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data
Christopher T. Nelson, Rama K. Vasudevan, Xiaohang Zhang +5
The physics of ferroelectric domain walls is explored using the Bayesian inference analysis of atomically resolved STEM data. We demonstrate that domain wall profile shapes are ult…
cond-mat.mtrl-sci2020★ 1 cited
Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution Scanning Transmission Electron Microscopy data
Maxim Ziatdinov, Chris Nelson, Xiaohang Zhang +5
Machine learning has emerged as a powerful tool for the analysis of mesoscopic and atomically resolved images and spectroscopy in electron and scanning probe microscopy, with the a…