A Feynman-Kac based numerical method for the exit time probability of a class of transport problems... Journal November, 2021
A Sparse-Grid Probabilistic Scheme for Approximation of the Runaway Probability of Electrons in Fusion Tokamak Simulation Conference Paper October, 2021
Enabling Long-range Exploration in Minimization of Multimodal Functions... Conference Paper October, 2021
Artificial Intelligence for Multiphysics Nuclear Design Optimization with Additive Manufacturing ORNL Report September, 2021
Application of Machine Learning to Predict the Response of the Liquid Mercury Target at the Spallation Neutron Source... Conference Paper August, 2021
On the Strong Convergence of Forward-Backward Splitting in Reconstructing Jointly Sparse Signals... Journal August, 2021
Analytic continuation of noisy data using Adams Bashforth residual neural network... Journal August, 2021