JULY 26, 2024 Journal Article On the Impact of Tidal Generation and Energy Storage Integration in PV-rich Electric Distribution Systems ( Read More )
JULY 26, 2024 Journal Article A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity ( Read More )
JULY 26, 2024 Conference Paper Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst Design ( Read More )
JULY 26, 2024 Journal Article A multifidelity approach to continual learning for physical systems ( Read More )
JULY 26, 2024 Journal Article GraMeR: Graph Meta Reinforcement Learning for Multi-Objective Influence Maximization ( Read More )
APRIL 30, 2024 Conference Paper Improving Frequency Stability and Minimizing Load Shedding Events by Adopting Grid-Scale Energy Storage with Grid Forming Inverters ( 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 20, 2024 Conference Paper cuAlign: Scalable Network Alignment on GPU Accelerators ( Read More )
APRIL 20, 2024 Conference Paper QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices ( Read More )
APRIL 20, 2024 Report Visualizing Uranium Crystallization from Melt: Experiment-Informed Phase Field Modeling and Machine Learning ( Read More )
APRIL 17, 2024 Report UQ4QM: Uncertainty Quantification for Quantum Materials - Final Report to Chemical Dynamics Initiative ( 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 )
APRIL 2, 2024 Journal Article Fine-tuning TrailMap: The utility of transfer learning to improve the performance of deep learning in axon segmentation of light-sheet microscopy images ( Read More )