Distilling nanoscale heterogeneity of amorphous silicon using tip-enhanced Raman spectroscopy (TERS) via multiresolution mani... Journal January, 2021
Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality... Journal January, 2021
Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables... Journal January, 2021
Enhancing hyperspectral EELS analysis of complex plasmonic nanostructures with pan-sharpening... Journal January, 2021
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening... Journal December, 2020
Quantifying the Dynamics of Protein Self-Organization Using Deep Learning Analysis of Atomic Force Microscopy Data... Journal December, 2020
Reconstruction and uncertainty quantification of lattice Hamiltonian model parameters from observations of microscopic degree... Journal December, 2020
Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data... Journal December, 2020
Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploita... Journal October, 2020
Statistical learning of governing equations of dynamics from in-situ electron microscopy imaging data... Journal October, 2020