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【Hackathon 5th No.58】A physics-informed deep neural network for surrogate modeling in classical elasto-plasticity #701
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rfcs/Science/20230929_epnn.md
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## 6. 可行性分析和排期规划 | ||
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参考代码修改为 paddle 实现,使用 PaddleScience API,测试精度对齐 |
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之前没注意到,这边github上显示不太对,文字间空一行,不然显示的时候不换行
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已增加换行
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排期和排期之间的空行
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已增加换行
rfcs/Science/20230929_epnn.md
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在项目中使用弹塑性神经网络解决问题,控制方程为,具体在论文 Page 8: | ||
![Alt text](20230929_epnn_images/equation1.png) | ||
![Alt text](20230929_epnn_images/intro1.png) |
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图看不了,可能应该用![image]
麻烦在现在放图片的文件夹上级再建一个images文件夹吧,就是变成这样的结构吧:
rfcs/Science/images/20230929_epnn/equation1.png
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https://github.com/PaddlePaddle/community/blob/master/hackathon/hackathon_5th/%E3%80%90PaddlePaddle%20Hackathon%205th%E3%80%91%E5%BC%80%E6%BA%90%E8%B4%A1%E7%8C%AE%E4%B8%AA%E4%BA%BA%E6%8C%91%E6%88%98%E8%B5%9B%E7%A7%91%E5%AD%A6%E8%AE%A1%E7%AE%97%E4%BB%BB%E5%8A%A1%E5%90%88%E9%9B%86.md
No.58 A physics-informed deep neural network for surrogate modeling in classical elasto-plasticity