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Found 3 papers, 2 papers with code
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
Physics-informed neural networks (PINNs) provide a framework to build surrogate models for dynamical systems governed by differential equations.
Improving Gradient Computation for Differentiable Physics Simulation with Contacts
We find that existing differentiable simulation methods provide inaccurate gradients when the contact normal direction is not fixed - a general situation when the contacts are between two moving objects.
Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
In recent years, an increasing amount of work has focused on differentiable physics simulation and has produced a set of open source projects such as Tiny Differentiable Simulator, Nimble Physics, diffTaichi, Brax, Warp, Dojo and DiffCoSim.
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