首页|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)
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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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.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningInstitute of Applied Physic s and Computational Mathematics
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