Training datasets for the Discrete Solution Operator Learning (DiSOL) model

Zenodo (CERN European Organization for Nuclear Research) 2026 Dataset Open access

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Authors: Jiao Bai, Haolin Li, Zahra Sharif Khodaei, M.H. Aliabadi, Yuantong Gu, Xi‐Qiao Feng
DOI: 10.5281/zenodo.18639633
Cited by: 0

Abstract

This repository stores the training data for the Discrete Solution Operator Learning (DiSOL) Model. All the data files are compressed as .7z files. Before use, please unzip them and store them in the correct path. The corresponding paper link is: https://arxiv.org/abs/2601.09143. The corresponding GitHub site is: https://github.com/JinshuaiBai/Discrete-Solution-Operator-Learning-DiSOL.

Fields of Study & Subjects

Model Reduction and Neural Networks Neural Networks and Applications Advanced Numerical Methods in Computational Mathematics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Dataset