Press Releases

A HydroGEN consortium team developed a generalizable defect graph neural network modeling approach for predicting defect formation enthalpies using the ideal (defect-free) host crystal structure and properties as input.

Projects Span Advanced Digital, Analog, and Quantum Computing

Projects Advance Intelligent, Distributed Scientific Workflows

Projects Span AI Applications to HEP to Studies of fundamental AI Techniques for Analysis and Discovery

Projects Span AI Applications to HEP, Studies of fundamental AI Techniques, and creation of benchmark HEP datasets

Research aims to develop novel algorithms in materials design, bio-engineering, and power grid applications

Research spans innovative approaches in computer science, applied mathematics and quantum algorithms

DOE has announced $1 million for a one-year collaborative research project to develop artificial intelligence (AI) and machine learning (ML) algorithms for biomedical, personal healthcare, or other privacy-sensitive datasets.

The U.S. Department of Energy (DOE) announced $16 million for five collaborative research projects to develop artificial intelligence (AI) and machine learning (ML) algorithms.

Research seeks to tame massive data sets to advance scientific discovery