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收藏PID3Net: a deep learning approach for single-shot coherent X-ray diffraction imaging of dynamic phenomenaPID3Net:一种用于动态现象单次拍摄相干X射线衍射成像的深度学习方法
Vu, Tien-Sinh; Ha, Minh-Quyet; Bachtiar, Adam Mukharil; Dao, Duc-Anh; Tran, Truyen; Kino, Hiori; Takazawa, Shuntaro; Ishiguro, Nozomu; Sasaki, Yuhei; Abe, Masaki; Uematsu, Hideshi; Okawa, Naru; Ozaki, Kyosuke; Kobayashi, Kazuo; Honjo, Yoshiaki; Nishino, Haruki; Joti, Yasumasa; Hatsui, Takaki; Takahashi, Yukio
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收藏Towards understanding structure-property relations in materials with interpretable deep learning通过可解释的深度学习理解材料中的结构-属性关系
Vu, Tien-Sinh; Ha, Minh-Quyet; Nguyen, Duong-Nguyen; Nguyen, Viet-Cuong; Abe, Yukihiro; Tran, Truyen; Tran, Huan; Kino, Hiori; Miyake, Takashi; Tsuda, Koji; Dam, Hieu-Chi
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