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A thermodynamic approach to machine learning: How optimal transport theory can improve generative models
Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal ...
The liquid-fueled molten salt reactors such as the MSRE and the TMSR-LF have distinguishing dynamic features compared with solid-fueled reactors, such that conventional system analysis codes are not ...
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