Projects Span AI Applications to HEP, Studies of fundamental AI Techniques, and creation of benchmark HEP datasets
Students Will Perform Research at National Laboratories
Projects Span Applied Mathematics for Grand Challenge Problems of Interest to DOE
Projects will advance understanding of fundamental particles and particle accelerators using high performance computing
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
Research focuses on early-stage, fundamental energy research supporting innovation across America; includes partnerships with the DOE national laboratories
Projects span research on properties of nuclei, nuclear structure, nucleon imaging, and discovering exotic states of quarks and gluons
Research will advance big data movement and analysis, develop tools for visually exploring data and communicating results
Research will advance data movement and analysis, as well as develop tools for automating workflows to aid in decision support.