75 citations · 80 across the 6 of their papers we have counts for
6 papers
Learning and predicting photonic responses of plasmonic nanoparticle assemblies via dual variational autoencoders
Muammer Y. Yaman, Sergei V. Kalinin, Kathryn N. Guye +2
We demonstrate the application of machine learning for rapid and accurate extraction of plasmonic particles cluster geometries from hyperspectral image data via a dual variational…
Probing electron beam induced transformations on a single defect level via automated scanning transmission electron microscopy
Kevin M. Roccapriore, Matthew G. Boebinger, Ondrej Dyck +4
The robust approach for real-time analysis of the scanning transmission electron microscopy (STEM) data streams, based on the ensemble learning and iterative training (ELIT) of dee…
Optimizing Training Trajectories in Variational Autoencoders via Latent Bayesian Optimization Approach
Arpan Biswas, Rama Vasudevan, Maxim Ziatdinov +1
Unsupervised and semi-supervised ML methods such as variational autoencoders (VAE) have become widely adopted across multiple areas of physics, chemistry, and materials sciences du…
Automated Experiments of Local Non-linear Behavior in Ferroelectric Materials
Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan +7
We develop and implement an automated experiment in multimodal imaging to probe structural, chemical, and functional behaviors in complex materials and elucidate the dominant physi…
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…
Automated experiment in 4D-STEM: exploring emergent physics and structural behaviors
Kevin M. Roccapriore, Ondrej Dyck, Mark P. Oxley +2
Automated experiments in 4D Scanning Transmission Electron Microscopy are implemented for rapid discovery of local structures, symmetry-breaking distortions, and internal electric…