tumaer / jax-sphLinks
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
☆75Updated 8 months ago
Alternatives and similar repositories for jax-sph
Users that are interested in jax-sph are comparing it to the libraries listed below
Sorting:
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆68Updated 9 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆82Updated 4 months ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆46Updated last year
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆164Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆46Updated last year
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- PyTorch-FEniCS interface☆102Updated 4 years ago
- ☆37Updated last week
- Pseudospectral Kolmogorov Flow Solver☆41Updated last year
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 11 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆49Updated last month
- Spectral Neural Operator☆78Updated last year
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆102Updated last year
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆92Updated last week
- Neural Emulator Architectures in JAX.☆20Updated 11 months ago
- Neural SPH☆37Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆30Updated 11 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆67Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- ☆28Updated last year
- ☆17Updated 9 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆54Updated last year
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆405Updated last week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last year
- Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.☆26Updated last year
- Universal, autodiff-native software components for Simulation Intelligence. 📦☆70Updated this week
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- ☆24Updated 2 years ago