Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations
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Updated
Jun 3, 2024 - Python
Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations
A library of XDE cases and algorithm
Making an ML PINN model for the ML4EO hackathon
🧮 PINN Enterprise Platform - AI-Powered Physics Simulations with CopilotKit-style Research Canvas UI. Complete serverless architecture with RAG-powered code generation, 3D visualization, and global edge deployment.
Solving 1D beam, 2D plate, and 3D solid mechanics problems using Physics-Informed Neural Networks (PINNs) with DeepXDE and TensorFlow. Results validated against ANSYS Mechanical 2025 R1. 2nd sem project
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