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
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Updated
Jun 7, 2025 - Jupyter Notebook