Published May 1, 2024
| Version v1.0.0
Dataset
Open
Research data of variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations
-
1.
Dalian University of Technology
Description
- This is the repository for the paper "Variational operator learning: A unified paradigm marrying training neural operators and solving partial differential equations" (accepted by Journal of the Mechanics and Physics of Solids). Please refer
README.mdfor detailed instructions to reproduce our experiments. -
This work was supported by National Key Research and Development Program of China (2023YFB3306700 and 2021YFF0306404), and National Natural Science Foundation of China (U2341233 and U21A20429).
- If you have any technical problems to report or interesting ideas to share, feel free to drop a issue at this issue board. The first author of this work is now actively seeking full-time internship opportunities and a doctoral position in AI4science, and if you are interested in collaborating with him, kindly consider drop him an email.
- Note: all data and codes in this repository are distributed under CC BY-NC-SA 4.0, and related algorithms are patent-protected. If you want to use materials in this repository for commercial purposes, please contact haopeng@dlut.edu.cn.
Files
Disclaimer.md
Files
(26.4 GB)
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