538 citations · 8.8k across the 204 of their papers we have counts for
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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…
Robust Feature Disentanglement in Imaging Data via Joint Invariant Variational Autoencoders: from Cards to Atoms
Maxim Ziatdinov, Sergei Kalinin
Recent advances in imaging from celestial objects in astronomy visualized via optical and radio telescopes to atoms and molecules resolved via electron and probe microscopes are ge…
Mapping causal patterns in crystalline solids
Chris Nelson, Anna N. Morozovska, Maxim A. Ziatdinov +4
The evolution of the atomic structures of the combinatorial library of Sm-substituted thin film BiFeO3 along the phase transition boundary from the ferroelectric rhombohedral phase…
Deep learning polarization distributions in ferroelectrics from STEM data: with and without atom finding
Ayana Ghosh, Christopher T. Nelson, Mark Oxley +4
Over the last decade, scanning transmission electron microscopy (STEM) has emerged as a powerful tool for probing atomic structures of complex materials with picometer precision, o…
Ensemble learning and iterative training (ELIT) machine learning: applications towards uncertainty quantification and automated experiment in atom-resolved microscopy
Ayana Ghosh, Bobby G. Sumpter, Ondrej Dyck +2
Deep learning has emerged as a technique of choice for rapid feature extraction across imaging disciplines, allowing rapid conversion of the data streams to spatial or spatiotempor…
USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data
Suhas Somnath, Chris R. Smith, Nouamane Laanait +7
Materials science is undergoing profound changes due to advances in characterization instrumentation that have resulted in an explosion of data in terms of volume, velocity, variet…