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
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 degrees of freedom 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–exploitation Journal October, 2020
Statistical learning of governing equations of dynamics from in-situ electron microscopy imaging data... Journal October, 2020
Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials Journal August, 2020
