Robotics & Machine Learning Daily News2024,Issue(Oct.21) :10-11.

Researchers at Institute of Applied Physics and Computational Mathematics Report New Data on Machine Learning (A Machinelearning Augmented Mixed Method for Sim ulating A Particle Transport In Inertial Confinement Fusion)

Robotics & Machine Learning Daily News2024,Issue(Oct.21) :10-11.

Researchers at Institute of Applied Physics and Computational Mathematics Report New Data on Machine Learning (A Machinelearning Augmented Mixed Method for Sim ulating A Particle Transport In Inertial Confinement Fusion)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “The plasma heating by the a particle transport is a main self-heating source in inertial confinement f usion (ICF) that determines the capsule implosion performance. Due to the high e nergy of a particle and the high temperature in the ICF capsule hot spot, signif icant non-equilibrium effect exists and the continuum mechanics breaks down.”

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Institute of Applied Physic s and Computational Mathematics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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