DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets Conference Paper November, 2023
Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems... Conference Paper June, 2023
Virtual Infrastructure Twins: Software Testing Platforms for Computing-Instrument Ecosystems Conference Paper December, 2022
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models Conference Paper December, 2022
MatPhase: Material phase prediction for Li-ion Battery Reconstruction using Hierarchical Curriculum Learning... Conference Paper December, 2022
Modelling of Microstructure Evolution in Wire-Based Laser Direct Energy Deposition with Ti-6Al-4V Conference Paper November, 2022
Li-ion Battery Material phase prediction through Hierarchical Curriculum Learning Conference Paper October, 2022
Enabling Autonomous Electron Microscopy for Networked Computation and Steering Conference Paper October, 2022
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks... Conference Paper April, 2022
ADDITIVELY MANUFACTURED SURFACE HEAT TRANSFER ENHANCEMENTS FOR THE TRANSFORMATIONAL CHALLENGE REACTOR Conference Paper March, 2022
