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Daniel Hayes collaborates with scientists around the world to study the impacts of thawing permafrost on Arctic and boreal ecosystems.
Celebrating Science Every Day
Projects Span AI Applications to HEP, Studies of fundamental AI Techniques, and creation of benchmark HEP datasets
Students Will Perform Research at National Laboratories
Through scalable algorithms and improvements to software, Victor M. Zavala is optimizing the nation’s energy infrastructure and managing network problems.
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