Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data Journal December, 2020
Reconstruction and uncertainty quantification of lattice Hamiltonian model parameters from observations of microscopic degrees of freedom Journal December, 2020
Quantifying the Dynamics of Protein Self-Organization Using Deep Learning Analysis of Atomic Force Microscopy Data Journal December, 2020
Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening Journal December, 2020
Statistical learning of governing equations of dynamics from in-situ electron microscopy imaging data... Journal October, 2020
Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation Journal October, 2020
Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials Journal August, 2020
Fast Scanning Probe Microscopy via Machine Learning: Non‐Rectangular Scans with Compressed Sensing and Gaussian Process Opt... Journal August, 2020
Bayesian inference in band excitation scanning probe microscopy for optimal dynamic model selection in imaging... Journal August, 2020
