Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder Publications IEEE Transactions on Geoscience and Remote Sensing
DLHub: Simplifying publication, discovery, and use of machine learning models in science Publications Journal of Parallel and Distributed Computing
Models and Processes to Extract Drug-like Molecules From Natural Language Text Publications Frontiers in Molecular Biosciences
Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications Publications 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
Graph-Based Approaches for Predicting Solvation Energy in Multiple Solvents: Open Datasets and Machine Learning Models Publications The Journal of Physical Chemistry A
2′-O methylation of RNA cap in SARS-CoV-2 captured by serial crystallography Publications PNAS - Proceedings of the National Academy of Sciences of the United States of America
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-ray Tomography Imaging Publications IEEE Transactions on Parallel and Distributed Systems ( Early Access )
Permutationally Invariant Polynomial Expansions with Unrestricted Complexity Publications Journal of Chemical Theory and Computation
Parsimonious Potential Energy Surface Expansions Using Dictionary Learning with Multipass Greedy Selection Publications The Journal of Physical Chemistry Letters
A Tunable Implementation of Quality-of-Service Classes for HPC Networks Publications ISC High Performance 2021: International Conference on High Performance Computing