Enabling Long-range Exploration in Minimization of Multimodal Functions Conference Paper October, 2021
Application of Machine Learning to Predict the Response of the Liquid Mercury Target at the Spallation Neutron Source... Conference Paper August, 2021
Towards Efficient Uncertainty estimation in deep learning for robust energy prediction in crystal materials... Conference Paper May, 2021
A prediction interval method for uncertainty quantification of regression models... Conference Paper May, 2021
Generation and mitigation of runaway electrons: spatio-temporal effects in dynamic scenarios Conference Paper May, 2021
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs Conference Paper May, 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models Conference Paper April, 2021
Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics Conference Paper December, 2020
Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials Conference Paper December, 2020
