leo1200 / jf1uidsLinks
differentiable (magneto)hydrodynamics for astrophysics in JAX, 📖 https://jf1uids.web.app/
☆14Updated 2 weeks ago
Alternatives and similar repositories for jf1uids
Users that are interested in jf1uids are comparing it to the libraries listed below
Sorting:
- Neural Emulator Architectures in JAX.☆16Updated 8 months ago
- ☆10Updated last month
- Efficient Differentiable n-d PDE solvers in JAX.☆45Updated 8 months ago
- Material for workshop and autumn school on scientific machine learning 2023☆20Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆76Updated last month
- ☆29Updated last week
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 6 months ago
- A fast direct solver for surface PDEs☆17Updated 2 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆60Updated 3 weeks ago
- ☆26Updated last year
- Autodiff-native, self-documenting software components for Simulation Intelligence. 📦☆59Updated this week
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated last week
- A simple pseudo-spectral solver for the Direct Numerical Simulation (DNS) of the 3D Taylor-Green Vortex in the Julia programming language☆10Updated 3 years ago
- Simple pseudospectral solver in Julia.☆18Updated 4 years ago
- A Julia framework for smoothed particle hydrodynamics. Requires Julia 1.5 or newer.☆35Updated 9 months ago
- Free learning resources on CFD, ML, HPC, and scientific writing☆17Updated this week
- Simple SPH dam-break simulation in Julia☆51Updated last week
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Spectral Methods in Python☆57Updated 2 months ago
- Incompressible Navier-Stokes solver☆81Updated 3 weeks ago
- Computational solid mechanics made easy with Jax☆46Updated 3 weeks ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆45Updated last year
- JAX-DIPS is a differentiable interfacial PDE solver.☆44Updated 10 months ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆68Updated 2 years ago
- Gridap drivers for fluid-structure interaction applications☆27Updated 3 years ago
- This codebase is a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precis…☆26Updated 4 months ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆49Updated 10 months ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆84Updated 4 years ago
- ☆17Updated 6 months ago