Abstract: Physics-informed neural networks (PINNs) incorporate physical constraints into their loss functions, allowing them to efficiently solve Partial Differential Equations (PDEs). In this work, ...
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Why time only moves forward, and past travel can't happen
Time feels like the most familiar thing in the world, yet it hides one of physics’ hardest questions: why do we only remember ...
Abstract: This paper considers constraints on the cycle number of energy storage systems (ESSs), travel distances of switchable capacitors reactors (SCRs), on load tap changers (OLTCs) and step ...
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