Press Releases

Office Will Align DOE’s World-Class Expertise on Technologies Like Artificial Intelligence, Biotechnology, Quantum, and Semiconductors

The U.S. Department of Energy (DOE) announced $29 million in funding for seven team awards for research in machine learning, artificial intelligence, and data resources for fusion energy sciences.

Projects span simulation of confined plasma dynamics, materials science, whole facility modeling, and computational frameworks for fusion energy

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