News Releases & Event Coverage
“AI and machine learning techniques could be a game changer. Due to the complicated nonlinear physics involved in these problems, using a supercomputer became a necessity for theoretical understanding. PPPL scientists will use Traverse to attack many of these problems in experiments, to collaborate with domestic and international researchers, and to help predict plasma performance in ITER, the international plasma research project using the world’s largest magnetic fusion device, or tokamak.”C.S. Chang. head of the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) Center for High-fidelity Boundary Plasma Simulation
“The decision by the NSF to create this institute to support new research in high-energy physics is extremely important for our ability to make new discoveries about the fundamental nature of the universe.” Pablo Debenedetti, Princeton’s Dean for Research and Class of 1950 Professor in Engineering and Applied Science
“Programs like CoDaS-HEP act as a bridge to fill the generation gap that some physicists have. My undergraduate work did not prepare me for the computational science demands of graduate research in physics. This is a great way to learn more about the current needs of computational methods in physics.” Namita Shokeen, doctoral candidate at Wayne State University and CoDaS-HEP program participant
“We are doing this because the success of the next phase of this global scientific project depends in part on whether we have the necessary tools to analyze data on an increasingly massive scale.” Peter Elmer, Princeton physicist, lead conference organizer and executive director and principal investigator for the NSF-funded Institute for Research and Innovation in Software for High Energy Physics