TUM Physics-based Simulation

A differentiable PDE solving framework for machine learning

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Welcome to the Physics-based Deep Learning Book (v0.2)

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Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

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Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"

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Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"

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Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)

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Repository for our CVPR 2021 Global Flow Transport Paper

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LSiM is a learned metric to compute distance values for 2D data from numerical simulations

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mantaflow is an open-source framework targeted at fluid simulation research in Computer Graphics and Machine Learning.

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