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).
simulationtensorflowpytorchcomputational-physicspartial-differential-equationsfemdifferential-equationsheat-transferphysics-simulationinverse-problemsnumerical-analysisscientific-machine-learningpinnsphysics-informed-neural-networksdata-driven-modelingpde-solvingode-solvingphysics-ml
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Updated
Jun 7, 2025 - Jupyter Notebook