Numerical analyses of exponential time-differencing schemes for the solution of atmospheric models... Journal April, 2021
Machine learning for neutron reflectometry data analysis of two-layer thin films... Journal April, 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models Conference Paper April, 2021
Linear convergence of accelerated conditional gradient algorithms in spaces of measures... Journal April, 2021
Imprecise global sensitivity analysis using bayesian multimodel inference and importance sampling... Journal February, 2021
Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach... Journal February, 2021
In Situ Compression Artifact Removal in Scientific Data Using Deep Transfer Learning and Experience Replay... Journal January, 2021
Probing potential energy landscapes via electron-beam-induced single atom dynamics... Journal January, 2021
A directional Gaussian smoothing optimization method for computational inverse design in nanophotonics... Journal January, 2021