tum-pbs / Solver-in-the-Loop
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
☆146Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Solver-in-the-Loop
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆55Updated 3 years ago
- ☆118Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆31Updated 4 years ago
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆49Updated 6 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆53Updated 2 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆58Updated 4 months ago
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆230Updated 2 weeks ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆112Updated 2 years ago
- Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow☆23Updated 2 years ago
- PyTorch-FEniCS interface☆97Updated 3 years ago
- ☆50Updated last year
- ☆92Updated last year
- JAX-DIPS is a differentiable interfacial PDE solver.☆40Updated 2 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 5 months ago
- Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.☆212Updated 3 months ago
- Differentiable Fluid Dynamics Package☆333Updated 2 months ago
- Conjugate Gradient related code for "Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers"☆24Updated 3 years ago
- A collection of CFD related resources for Taichi developers.☆107Updated 3 weeks ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆86Updated 2 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆141Updated last year
- ☆21Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆126Updated 2 months ago
- Example problems in Physics informed neural network in JAX☆76Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆104Updated last month
- Differentiable interface to FEniCS for JAX☆50Updated 3 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆141Updated 4 years ago
- ☆39Updated 4 years ago
- ☆185Updated 3 years ago