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pde-solving

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ShayanDodge / star-pinn-magnetic-diffusion

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Official implementation of STAR-PINN: a Physics-Informed Neural Network (PINN) for solving the 2D time-domain magnetic diffusion (Maxwell) equation in nonlinear materials.

machine-learning deep-learning scientific-computing computational-physics neural-networks partial-differential-equations electromagnetics time-domain transient-analysis pinn maxwell-equations physics-informed-neural-networks ai-for-science research-code pde-solving magnetic-diffusion nonlinear-materials
  • Updated Apr 30, 2026

thendralmagudapathi / Physics-Informed-Neural-Networks

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This repository contains Jupyter notebooks from my learning journey with Physics-Informed Neural Networks (PINNs). These are not complete projects but serve as educational resources to explore core and intermediate concepts in applying neural networks to solve partial differential equations (PDEs).

simulation tensorflow pytorch computational-physics partial-differential-equations fem differential-equations heat-transfer physics-simulation inverse-problems numerical-analysis scientific-machine-learning pinns physics-informed-neural-networks data-driven-modeling pde-solving ode-solving physics-ml
  • Updated Jun 7, 2025
  • Jupyter Notebook

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