AeroJAX: A differentiable, structure-preserving framework for real-time flow simulation, control, and inverse design. Architected for neural operator integration and latent-space acceleration. Built with JAX.
☆334Oct 7, 2026Updated last month
Alternatives and similar repositories for AeroJAX
Users that are interested in AeroJAX are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- GPU-accelerated differentiable sparse linear solver library for JAX☆59Oct 26, 2026Updated 2 weeks ago
- Differentiable Fluid Dynamics Package☆670Aug 28, 2026Updated 2 months ago
- CFD from scratch in Python — finite differences to turbulence, Navier-Stokes to k-ω SST, validated against Ghia et al.☆20Sep 3, 2026Updated 2 months ago
- "Neural Emulator Superiority: When Machine Learning for PDEs Surpasses its Training Data" [NeurIPS 2025]☆17May 21, 2026Updated 5 months ago
- A modular, JAX-based framework for Physics-Informed Neural Networks, designed for scalable PDE-constrained learning with support for doma…☆39Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Efficient Differentiable n-d PDE Solvers in JAX.☆234Nov 1, 2026Updated last week
- Algebraic multigrid solvers in JAX☆43Aug 27, 2026Updated 2 months ago
- The Open Parametric Flow Optimizer is an open-source design space exploration and optimization tool for computational fluid dynamics base…☆13Jun 21, 2026Updated 4 months ago
- Contact simulation based on Fiber Monte Carlo within FEM framework☆12Sep 11, 2025Updated last year
- XLB: Accelerated Lattice Boltzmann (XLB) for Physics-based ML☆519Updated this week
- Solve the advection diffusion equations looped into an optimization problem with JAX/autodiff☆14May 8, 2025Updated last year
- Massively-parallelized Navier-Stokes solver for Taylor-Couette flows☆10Jul 6, 2026Updated 4 months ago
- Training methodologies for autoregressive neural operators/emulators in JAX.☆16Jun 1, 2026Updated 5 months ago
- Multi-GPU code for intreface-resolved simulations of multiphase turbulence (triply periodic box and channel). DNS of Navier-Stokes equati…☆34Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This repository provides examples of coupling solvers using CoSimIO, including OpenFOAM with Kratos Multiphysics, as well as data exchan…☆50Aug 9, 2024Updated 2 years ago
- P3D☆42Apr 11, 2026Updated 7 months ago
- Efficient GPU-computing simulation platform for differentiable phase field model☆28Apr 14, 2026Updated 7 months ago
- SParse lINear solvers in JAX☆60Updated this week
- ☆17Jan 3, 2026Updated 10 months ago
- Curated research and learning hub for mechanical engineering, CFD, numerical methods, AI4CFD, reduced-order modeling, FEA and scientific …☆22Jul 23, 2026Updated 3 months ago
- Visualisation for 4D Volumes (Space + Time) written in WebGPU and Rust☆46Nov 21, 2025Updated 11 months ago
- computational physics (Chungbuk National University, Korea)☆10May 26, 2022Updated 4 years ago
- Advanced Finite Difference flow solver with Multiple Resolution and Phase-Field implementations☆26Dec 4, 2025Updated 11 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Graphical editor for OpenFOAM blockMeshDict files☆31May 13, 2026Updated 6 months ago
- Computational Fluid Dynamics in JAX☆968Oct 25, 2026Updated 3 weeks ago
- TorchFSM: Fourier Spectral Method with PyTorch☆62Sep 14, 2026Updated 2 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆136May 7, 2026Updated 6 months ago
- Simple GPU rendering of scientific data with Pytorch, Jax, CuPy, and Warp backends.☆33Nov 20, 2023Updated 2 years ago
- Differentiable Hydrodynamical Simulations☆18Oct 27, 2026Updated 2 weeks ago
- A code for fast, massively-parallel simulations of two-phase flows with heat transfer☆50Nov 2, 2026Updated last week
- ☆62Apr 20, 2026Updated 6 months ago
- A code for fast, massively-parallel direct numerical simulations (DNS) of canonical flows☆26Nov 1, 2026Updated last week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A differentiable PDE solving framework for machine learning☆1,956Jul 16, 2026Updated 3 months ago
- Differentiable Finite Element Method with JAX☆784Oct 9, 2026Updated last month
- A fully-differentiable compressible reacting flow solver based on JAX-AMR☆38Jul 14, 2026Updated 4 months ago
- A Warp Drive for Neural PDE Solvers☆56Oct 6, 2026Updated last month
- GenSDF: An MPI-Fortran based signed-distance-field generator for computational fluid dynamics applications.☆10Oct 14, 2026Updated last month
- Matrix-free linear algebra in JAX.☆184Nov 4, 2026Updated last week
- Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers,…☆119Updated this week
Are these results useful?