Physics-Informed Neural Networks for Solving Parametric Magnetostatic Problems
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DOI: 10.1109/tec.2022.3180295
Abstract: The objective of this paper is to investigate the ability of physics-informed neural networks to learn the magnetic field response as a function of design parameters in the context of a two-dimensional (2-D) magnetostatic problem.… read more here.
Keywords: informed neural; neural networks; parametric magnetostatic; physics ... See more keywords