Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics... Conference Paper December, 2020
Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey... Journal 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
A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models... Conference Paper December, 2020
Increasing the census of ultracool dwarfs in wide binary and multiple systems using Dark Energy Survey DR1 and Gaia DR2 data... Journal December, 2020
Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey... Journal December, 2020
Spatial core-edge coupling of the particle-in-cell gyrokinetic codes GEM and XGC Journal December, 2020
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects... Journal December, 2020
Data optimization for large batch distributed training of deep neural networks... Conference Paper December, 2020