MAY 12, 2024 Report An Assessment of Resource Drought Events as Indicators for Long-Duration Energy Storage Needs ( Read More )
MAY 10, 2024 Journal Article A Dislocation Density-Based Meshfree Computational Framework for Solid Phase Processing ( Read More )
MAY 10, 2024 Journal Article Topology Property Analysis and Application of Stable Time-Delay Regions for Linear Multiple Time-Delay Systems ( Read More )
MAY 7, 2024 Conference Paper Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration ( Read More )
APRIL 30, 2024 Conference Paper FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics ( Read More )
APRIL 26, 2024 Journal Article Weather Systems Connecting Modes of Climate Variability to Regional Hydroclimate Extremes ( Read More )
APRIL 26, 2024 Conference Paper A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices ( Read More )
APRIL 26, 2024 Conference Paper Malicious Cyber Activity Detection using Zigzag Persistence ( Read More )
APRIL 23, 2024 Conference Paper A Reference Implementation for a Quantum Message Passing Interface ( Read More )
APRIL 20, 2024 Conference Paper cuAlign: Scalable Network Alignment on GPU Accelerators ( Read More )
APRIL 20, 2024 Report Visualizing Uranium Crystallization from Melt: Experiment-Informed Phase Field Modeling and Machine Learning ( Read More )
APRIL 17, 2024 Journal Article Citizen and machine learning-aided high-resolution mapping of urban heat exposure and stress ( Read More )
APRIL 17, 2024 Report UQ4QM: Uncertainty Quantification for Quantum Materials - Final Report to Chemical Dynamics Initiative ( Read More )
APRIL 5, 2024 Conference Paper Geodesic-based relaxation for deep canonical correlation analysis ( Read More )
APRIL 4, 2024 Journal Article Leveraging Artificial Intelligence to Expedite Antibody Design and Enhance Antibody-Antigen Interactions ( Read More )
APRIL 3, 2024 Report Domain Aware Deep-learning Algorithms Integrated with Scientific-computing Technologies (DADAIST) ( Read More )