Published July 23, 2026 | Version v1
Dataset Open

RONOM: Reduced-Order Neural Operator Modeling -- Datasets and Trained Models

Authors/Creators

  • 1. ROR icon University of Twente
  • 2. ROR icon Xi'an Jiaotong-Liverpool University

Description

Datasets and trained models accompanying the code for the paper "RONOM: Reduced-Order Neural Operator Modeling".

Code is available at GitHub

Paper is available at SIAM Journal on Scientific Computing and Arxiv.

Files

Trained models.zip

Files (38.1 GB)

Name Size
md5:1e33ed4d77ed7d1bcb491ce6e5065beb
802.7 MB Download
md5:4c302592547eca5cc50e84a5ad3b334f
23.1 GB Download
md5:52142c4aee80cac5a82e38774ed2c89c
671.9 MB Preview Download
md5:07ebb40909c8656159a18a752c6cbd30
13.6 GB Download

Additional details

Related works

Is supplement to
Journal article: 10.1137/25M1777700 (DOI)
Preprint: 10.48550/arXiv.2507.12814 (DOI)

Software

Repository URL
https://github.com/SCdummer/RONOM
Programming language
Python