Deep learning workflow for the inverse design of molecules with specific optoelectronic properties Journal November, 2023
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets Conference Paper November, 2023
Dual-Purpose Canister Filling Demonstration Project Progress Report at ORNL, 2023 ORNL Report September, 2023
IN-SITU MONITORING ASSISTED LARGE-SCALE ADDITIVE MANUFACTURING OF MILD STEEL AND 316L ALLOYS FOR NUCLEAR APPLICATION... ORNL Report September, 2023
Report Outlining Computed Tomography Strategy and Microscopy Approach to Qualifying AM 316 Materials ORNL Report August, 2023
Operando neutron diffraction reveals mechanisms for controlled strain evolution in 3D printing... Journal August, 2023
Thermo4PFM: Facilitating Phase-field simulations of alloys with thermodynamic driving forces Journal July, 2023
Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems Conference Paper June, 2023