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PINN-for-Modeling-Gravitational-Potential-of-an-Irregular-Body

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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.

Creat2025-11-05T02:17:39
Update2025-11-05T03:18:25
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