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【Hackathon 7th PPSCI No.7】No.7 AI-aided geometric design of anti-infection catheters 论文复现 #943
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LGTM
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1. 复现 GeoFNO 代码,实现完整的流程,包括:训练、验证、导出、推理。 | ||
2. 保持精度与论文精度一致,相对误差在 ±10% 以内。 | ||
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- 产出论文相关文档(这个很重要,会占评价指标20%,要求补充关键的图、视频等数据)
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- 产出论文相关文档(这个很重要,会占评价指标20%,要求补充关键的图、视频等数据)
这个知道的,代码正在泡,图片以及视频会在对应文档中的,这里需要改吗
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不用
rfcs/Science/20240823_GeoFNO .md
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## 2. PaddleScience 现状 | ||
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PaddleScience 套件暂无 GeoFNO 代码案例。 |
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有FNO相关代码,可以酌情复用
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这个知道的,代码正在跑
GeoFNO 模型用于预测细菌在导尿管中的分布情况 | ||
- 链接: | ||
代码:[https://github.com/zongyi-li/Geo-FNO-catheter](https://github.com/zongyi-li/Geo-FNO-catheter) | ||
论文:[https://www.science.org/doi/pdf/10.1126/sciadv.adj1741](https://www.science.org/doi/pdf/10.1126/sciadv.adj1741) |
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注意Science Advance论文通常会有一些Supplementary Materials在网站上可以下载,不要遗漏
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这个是知道的,谢谢
LGTM |
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LGTM
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