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Fusion energy

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The energy released when two atomic nuclei fuse together. This process powers the sun and stars.  Read more

PPPL and Oak Ridge manage new DOE program designed to speed development of fusion energy with private-public partnerships

The U.S. Department of Energy (DOE) has launched an ambitious new program to encourage private-pubic partnerships to speed the development on Earth of the fusion energy that powers the sun and most stars. The DOE’s Princeton Plasma Physics Laboratory (PPPL) and Oak Ridge National Laboratory, home of the US ITER Project Office, will manage the program, with PPPL physicist Ahmed Diallo serving as deputy director and Oak Ridge fusion engineer Dennis Youchison serving as director. 

Tracking major sources of energy loss in compact fusion facilities

A key obstacle to controlling on Earth the fusion that powers the sun and stars is leakage of energy and particles from plasma, the hot, charged state of matter composed of free electrons and atomic nuclei that fuels fusion reactions. At the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), physicists have been focusing on validating computer simulations that forecast energy losses caused by turbulent transport during fusion experiments.

Tracking major sources of energy loss in compact fusion facilities

A key obstacle to controlling on Earth the fusion that powers the sun and stars is leakage of energy and particles from plasma, the hot, charged state of matter composed of free electrons and atomic nuclei that fuels fusion reactions. At the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), physicists have been focusing on validating computer simulations that forecast energy losses caused by turbulent transport during fusion experiments.

Four scientists at PPPL awarded national and international honors

Institutions ranging from NASA to the Korean Physical Society have recently bestowed national and international honors on four scientists at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL). The awards recognize a veteran and three early career physicists for their path-setting achievements in fusion and plasma science research. The honorees and their notable contributions:

Rajesh Maingi named Fellow of the American Nuclear Society

Four scientists at PPPL awarded national and international honors

Institutions ranging from NASA to the Korean Physical Society have recently bestowed national and international honors on four scientists at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL). The awards recognize a veteran and three early career physicists for their path-setting achievements in fusion and plasma science research. The honorees and their notable contributions:

Rajesh Maingi named Fellow of the American Nuclear Society

Artificial intelligence — an exciting new way to speed development of fusion energy

How can scientists foresee and avoid massive disruptions in plasma, a key hurdle to bringing the fusion reactions that power the sun and stars to Earth to generate electricity? “You can’t have a prototype reactor if it’s disrupting,” says William Tang, a physicist at PPPL and a Princeton University professor who leads a project to forecast disruptions through artificial intelligence (AI) — the branch of computer science that is transforming scientific inquiry and industry.  

Machine learning speeds modeling of experiments aimed at capturing fusion energy on Earth

Machine learning (ML), a form of artificial intelligence that recognizes faces, understands language and navigates self-driving cars, can help bring to Earth the clean fusion energy that lights the sun and stars. Researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using ML to create a model for rapid control of plasma — the state of matter composed of free electrons and atomic nuclei, or ions — that fuels fusion reactions.

Machine learning speeds modeling of experiments aimed at capturing fusion energy on Earth

Machine learning (ML), a form of artificial intelligence that recognizes faces, understands language and navigates self-driving cars, can help bring to Earth the clean fusion energy that lights the sun and stars. Researchers at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) are using ML to create a model for rapid control of plasma — the state of matter composed of free electrons and atomic nuclei, or ions — that fuels fusion reactions.

New technique merging sound and math could help prevent plasma disruptions in fusion facilities

Scientists have created a novel method for measuring the stability of a soup of ultra-hot and electrically charged atomic particles, or plasma, in fusion facilities called “tokamaks.” Involving an innovative use of a mathematical tool, the method might lead to a technique for stabilizing plasma and making fusion reactions more efficient.

New technique merging sound and math could help prevent plasma disruptions in fusion facilities

Scientists have created a novel method for measuring the stability of a soup of ultra-hot and electrically charged atomic particles, or plasma, in fusion facilities called “tokamaks.” Involving an innovative use of a mathematical tool, the method might lead to a technique for stabilizing plasma and making fusion reactions more efficient.

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