Robotics & Machine Learning Daily News2024,Issue(Dec.2) :114-115.

New Findings Reported from University of Texas Austin Describe Advances in Machi ne Learning (Scientific machine learning based reduced-order models for plasma t urbulence simulations)

Robotics & Machine Learning Daily News2024,Issue(Dec.2) :114-115.

New Findings Reported from University of Texas Austin Describe Advances in Machi ne Learning (Scientific machine learning based reduced-order models for plasma t urbulence simulations)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from the Univer sity of Texas Austin by NewsRx correspondents, research stated, “This paperinve stigates non-intrusive Scientific Machine Learning (SciML) Reduced-Order Models (ROMs) for plasmaturbulence simulations.”

Key words

University of Texas Austin/Cyborgs/Eme rging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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