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 ...
An emotional journey for one aspiring nurse is being seen in real time in Willimantic. For some it is reading or listening, ...
New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...
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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