A significant advance in the use of machine learning (ML) algorithms could accelerate fusion energy research. Previous research at the Massachusetts Institute of Technology (MIT) has shown how physicists can utilize machine learning techniques to conduct their research, such as tracking plasma turbulence during fusion experiments.
The post Berkeley Lab Boosts Fusion Research Using ML Models on NERSC Supercomputers appeared first on HPCwire.
Article From: "Andrew Jolly" Read full article »
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