Published July 9, 2026
| Version v1.0.0
Software
Open
Code for Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport
Authors/Creators
- 1. School of Mathematics and Statistics, Xi'an Jiaotong University
- 2. School of Energy and Power Engineering, Xi'an Jiaotong University
- 3. Nuclear Power Institute of China
Description
This release contains the code associated with the published article:
Randomized neural networks for integro-differential equations with application to neutron transport
Version: v1.0.0
Release type: final code release for the published article
Contents
- Source code for RaNN-NTE
- Scripts used for model training, and evaluation
- Configuration files and environment/dependency information
- Instructions for reproducing the main results reported in the article
Notes
This release corresponds to the version of the code used in the published article.
If using this code, please cite the associated article and the archived Zenodo record.
Notes
If you use this code, please cite the corresponding paper.
Files
XJTU-AI4SciComp-Lab/rann-neutron-transport-paper-code-v1.0.0.zip
Files
(1.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:e3b0ac14ef2bf061fee5318f107940db
|
1.1 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/XJTU-AI4SciComp-Lab/rann-neutron-transport-paper-code/tree/v1.0.0 (URL)