138 citations · 147 across the 3 of their papers we have counts for
3 papers
Finding simplicity: unsupervised discovery of features, patterns, and order parameters via shift-invariant variational autoencoders
Maxim Ziatdinov, Chun Yin Wong, Sergei V. Kalinin
Recent advances in scanning tunneling and transmission electron microscopies (STM and STEM) have allowed routine generation of large volumes of imaging data containing information…
AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond
Maxim Ziatdinov, Ayana Ghosh, Tommy Wong +1
AtomAI is an open-source software package bridging instrument-specific Python libraries, deep learning, and simulation tools into a single ecosystem. AtomAI allows direct applicati…
Disentangling ferroelectric wall dynamics and identification of pinning mechanisms via deep learning
Yongtao Liu, Roger Proksch, Chun Yin Wong +2
Field-induced domain wall dynamics in ferroelectric materials underpins multiple applications ranging from actuators to information technology devices and necessitates a quantitati…