Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.
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Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
Abstract: The increasing demand for high-speed optical interconnects requires the integration of photonics and electronics, with electro-optic (EO) co-simulation being crucial. However, fragmented ...
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