首页|Recent Findings in Machine Learning Described by a Researcher from Lawrence Berk eley National Laboratory (Sparsified timedependent Fourier neural operators for fusion simulations)

Recent Findings in Machine Learning Described by a Researcher from Lawrence Berk eley National Laboratory (Sparsified timedependent Fourier neural operators for fusion simulations)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news originatingfrom the Lawrence Berkeley Nati onal Laboratory by NewsRx editors, the research stated, “This paperpresents a s parsified Fourier neural operator for coupled time-dependent partial differentia l equations(ST-FNO) as an efficient machine learning surrogate for fluid and pa rticle-based fusion codes such asNIMROD (Non-Ideal Magnetohydrodynamics with Ro tation - Open Discussion) and GTC (GyrokineticToroidal Code).”

Lawrence Berkeley National LaboratoryC yborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.25)