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
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs Conference Paper May, 2021
Generation and mitigation of runaway electrons: spatio-temporal effects in dynamic scenarios 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
A Nonlocal-Gradient Descent Method for Inverse Design in Nanophotonics Conference Paper December, 2020
