Real-World Experiences Adopting Workflows at Exascale on the ExaAM Project Conference Paper October, 2022
High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing Conference Paper July, 2022
Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks Conference Paper March, 2022
Anderson Acceleration for Distributed Training of Deep Learning Models... Conference Paper March, 2022
Current Status of the Finite-Element Fluid Solver (COFFE) within HPCMP CREATE™-AV Kestrel... Conference Paper January, 2022
Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks : *Full/Regular Research Paper submission for the symposium CSCI-ISAI: Artificial Intelligence Conference Paper December, 2021
Self-Supervised Anomaly Detection via Neural Autoregressive Flows with Active Learning Conference Paper December, 2021
Towards Generic Parallel Programming in Computer Science Education with Kokkos... Conference Paper November, 2020
Reduced Models for Chemical Kinetics derived from Parallel Ensemble Simulations of Stirred Reactors Conference Paper January, 2020
