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-
-<a name="NEAnh"></a>
-## Introduction
-An educational code for structural topology optimization based on automatic differentiation.<br />![SA2AD.png](https://cdn.nlark.com/yuque/0/2022/png/2749792/1667546961983-5188ad17-bbd1-44c9-a964-c44389659302.png#clientId=u190c3999-3642-4&crop=0&crop=0&crop=1&crop=1&from=ui&id=u8998f9c1&margin=%5Bobject%20Object%5D&name=SA2AD.png&originHeight=693&originWidth=3579&originalType=binary&ratio=1&rotation=0&showTitle=false&size=71702&status=done&style=none&taskId=ub5bc5c2b-f354-4ec3-9244-64edc348c18&title=)
-<a name="OaAXH"></a>
-## Running Requirement
-
- Python
- Jax
- Jaxlib
- Optax
- Flax
-
-
-<a name="dUd1P"></a>
-## Citation
-Feel free to cite this library.
-```markdown
-@article{Zhang_TONRExploration_2021,
-    title = {{{TONR}}: {{An}} Exploration for a Novel Way Combining Neural Network with Topology Optimization},
-    shorttitle = {{{TONR}}},
-    author = {Zhang, Zeyu and Li, Yu and Zhou, Weien and Chen, Xiaoqian and Yao, Wen and Zhao, Yong},
-    year = {2021},
-    month = dec,
-    journal = {Computer Methods in Applied Mechanics and Engineering},
-    volume = {386},
-    pages = {114083},
-    issn = {00457825},
-    doi = {10.1016/j.cma.2021.114083},
-    langid = {english},
-    }
-```
-