75 citations · 108 across the 3 of their papers we have counts for
3 papers
Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries
Maxim Ziatdinov, Yongtao Liu, Anna N. Morozovska +4
Machine learning is rapidly becoming an integral part of experimental physical discovery via automated and high-throughput synthesis, and active experiments in scattering and elect…
Unsupervised Machine Learning Discovery of Chemical and Physical Transformation Pathways from Imaging Data
Sergei V. Kalinin, Ondrej Dyck, Ayana Ghosh +4
We show that unsupervised machine learning can be used to learn physical and chemical transformation pathways from the observational microscopic data, as demonstrated for atomicall…
Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables
Sergei V. Kalinin, Kyle Kelley, Rama K. Vasudevan +1
Polarization switching mechanisms in ferroelectric materials are fundamentally linked to local domain structure and presence of the structural defects, which both can act as nuclea…