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<a name="NEAnh"></a>
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## Introduction
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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=)
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<a name="OaAXH"></a>
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## Running Requirement
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- Python
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- Jax
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- Jaxlib
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- Optax
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- Flax
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<a name="dUd1P"></a>
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## Citation
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Feel free to cite this library.
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```markdown
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@article{Zhang_TONRExploration_2021,
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title = {{{TONR}}: {{An}} Exploration for a Novel Way Combining Neural Network with Topology Optimization},
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shorttitle = {{{TONR}}},
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author = {Zhang, Zeyu and Li, Yu and Zhou, Weien and Chen, Xiaoqian and Yao, Wen and Zhao, Yong},
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year = {2021},
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month = dec,
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journal = {Computer Methods in Applied Mechanics and Engineering},
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volume = {386},
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pages = {114083},
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issn = {00457825},
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doi = {10.1016/j.cma.2021.114083},
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langid = {english},
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}
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```
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