Data-Driven Modeling of a High Capacity Cryogenic System for Control Optimization... Conference Paper November, 2023
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
FFTX-IRIS: Towards Performance Portability and Heterogeneity for SPIRAL Generated Code Conference Paper November, 2023
On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments Conference Paper August, 2023
Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Conference Paper July, 2023
Abisko: Deep codesign of an architecture for spiking neural networks using novel neuromorphic materials Journal June, 2023