1 citations · 3 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2024★ 1 cited
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★ 1 cited
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…
math.NA2024★ 1 cited
Coupling of the Finite Element Method with Physics Informed Neural Networks for the Multi-Fluid Flow Problem
Michel Nohra, Steven Dufour
Multi-fluid flows are found in various industrial processes, including metal injection molding and 3D printing. The accuracy of multi-fluid flow modeling is determined by how well…