After 47 years as a path-setting theoretical physicist at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), Roscoe White retired on June 1, 2021, only one might never know it. A former head of the PPPL Theory Department and now a senior researcher in retirement, “I can continue to submit papers and publish and use my computer account to do research,” White said. “That’s all I need.”
A nuclear fusion reactor in which a magnetic field keeps charged, hot plasma moving in a doughnut-shaped vacuum container.
Plasma physicist Felix Parra Diaz, a distinguished scientist and Oxford University professor who has studied, taught and won high honors on both sides of the Atlantic, has been named head of the Theory Department at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL).
Advanced capabilities ranging from the innovative use of artificial intelligence (AI) to state-of-the-art computer codes have won the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) its third straight round of DOE-sponsored public-private partnerships to help accelerate the production on Earth of the fusion energy that powers the sun and stars.
Nothing seems more familiar than the sun in the sky. But mysterious swirls, jets, and flashes of powerful light that scientists cannot explain occur in the sun’s outer atmosphere all the time. Now, researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) have gained insight into these puzzling phenomena.
Machine learning, a technique used in the artificial intelligence (AI) software behind self-driving cars and digital assistants, now enables scientists to address key challenges to harvesting on Earth the fusion energy that powers the sun and stars. The technique recently empowered physicist Dan Boyer of the U.S.
Princeton Plasma Physics Laboratory is a U.S. Department of Energy national laboratory managed by Princeton University.
© 2021 Princeton Plasma Physics Laboratory. All rights reserved.