Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...
Artificial intelligence is consuming enormous amounts of energy, but researchers at the University of Florida have built a chip that could change everything by using light instead of electricity for a ...
Abstract: A physics-informed neural networks (PINNs) framework is proposed for electromagnetic-thermal cosimulation. The framework utilizes two coupled PINNs: The first solves the Helmholtz equation ...
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