The concurrent shift toward mesh-free and domain decomposition techniques, along with the use of Bayesian optimization, highlights a clear trend toward adaptable, efficient design tools capable of operating under real-time conditions – heralding a new era of electrical machine design that is both data-efficient and physically consistent ( Asef and Vagg, 2024 ; Nyangon, 2021b ).
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Hybrid physics-informed artificial intelligence for high-fidelity modeling and optimization of electrical systems.
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