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cff-version: 1.2.0
message: "If you use foundax in academic work, please cite the accompanying paper."
title: "foundax: A Unified JAX Model Zoo for Operator Learning and PDE Foundation Models"
version: "0.2.0"
date-released: 2026-05-31
license: MIT
repository-code: "https://github.com/FhG-IISB/foundax"
url: "https://github.com/FhG-IISB/foundax"
abstract: >
A small Equinox-based collection of JAX models for operator learning and PDE surrogates:
core architectures (FNO, U-Net, DeepONet, transformer, GNOT family, …), the KAN family,
and wrappers around eight vendored foundation models (Poseidon, MORPH, MPP, Walrus,
BCAT, PDEformer-2, DPOT, PROSE). Integrates with the jNO library for physics-informed
training.
keywords:
- JAX
- Equinox
- neural operators
- Kolmogorov-Arnold Networks
- foundation models
- PDE surrogates
- scientific machine learning
authors:
- family-names: Armbruster
given-names: Leon
affiliation: "Fraunhofer IISB, Germany"
orcid: "https://orcid.org/0009-0007-7602-362X"
preferred-citation:
type: article
authors:
- family-names: Armbruster
given-names: Leon
- family-names: Ramesh
given-names: Rathan
- family-names: Kruse
given-names: Georg
- family-names: Straub
given-names: Christopher
title: "jNO: A JAX Library for Neural Operator and Foundation Model Training"
year: 2026
doi: "10.48550/arXiv.2605.10159"
url: "https://arxiv.org/abs/2605.10159"
note: "Preprint on arXiv (arXiv:2605.10159). foundax is the model-zoo component described in this paper."