Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations
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Jun 3, 2024 - Python
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deepxde
Here are 8 public repositories matching this topic...
A library of XDE cases and algorithm
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Jul 25, 2024 - Python
Solving Torrey-Bloch Equations via Physics-Informed Neural Networks (PINNs)
deep-learning partial-differential-equations diffusion pinns physics-informed-neural-networks deepxde
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Jun 7, 2022 - Jupyter Notebook
Making an ML PINN model for the ML4EO hackathon
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Feb 2, 2024 - Python
š§® 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.
webgl machine-learning serverless scientific-computing heat-transfer physics-simulation fluid-dynamics 3d-visualization engineering-simulation pinn cloudflare-workers fastapi physics-informed-neural-networks deepxde enterprise-platform ai-simulation copilotkit rag-system research-canvas
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Jul 13, 2025 - Python
This project implements a Physics-Informed Neural Network (PINN) using DeepXDE to approximate the gravitational potential field of a two-body system (e.g., Earth and Moon). By embedding Newtonian physics laws into the loss function, the model learns to satisfy both data-driven and physical constraints, demonstrating the fusion of AI and physics.
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Nov 9, 2025 - Jupyter Notebook
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