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physics.comp-ph2024
Approximating electromagnetic fields in discontinuous media using a single physics-informed neural network
Michel Nohra, Steven Dufour
Physics-Informed Neural Networks (PINNs) are a new family of numerical methods, based on deep learning, for modeling boundary value problems. They offer an advantage over tradition…
physics.comp-ph2024
Physics-Informed Neural Networks for the Numerical Modeling of Steady-State and Transient Electromagnetic Problems with Discontinuous Media
Michel Nohra, Steven Dufour
Physics-informed neural networks (PINNs) have emerged as a promising numerical method based on deep learning for modeling boundary value problems, showcasing promising results in v…