PaddlePaddle/PaddleScience
PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.
This project helps scientists, engineers, and researchers simulate complex physical, chemical, and meteorological phenomena using AI. It takes descriptions of physical laws, experimental data, or a combination of both to predict system behavior, fluid dynamics, material properties, and more. Users can leverage this to explore 'what-if' scenarios, optimize designs, or accelerate research in areas like fluid dynamics, materials science, and atmospheric modeling.
436 stars.
Use this if you need to solve complex scientific computing problems across physics, chemistry, or meteorology by applying deep learning methods like physics-informed neural networks, data-driven modeling, or a hybrid approach.
Not ideal if you are looking for a simple, out-of-the-box simulation tool that doesn't require familiarity with deep learning concepts or programming.
Stars
436
Forks
235
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 25, 2026
Commits (30d)
0
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