NVIDIA/physicsnemo-sym
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
PhysicsNeMo Symbolic helps scientists and engineers integrate the fundamental laws of physics into AI models. It allows you to specify physical equations, like PDEs, and geometric constraints to inform model training. This results in AI models that are more accurate and physically consistent for simulating complex systems.
315 stars.
Use this if you are developing AI models for physical simulations and need to ensure they adhere to known physics principles.
Not ideal if your AI modeling task does not involve physical systems governed by explicit equations or if you are not comfortable with Python development.
Stars
315
Forks
117
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
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