資源タイプ: ジャーナル論文 キーワード: AI for science

2 件のレコードが見つかりました。

VibeTube  a code for accurate extraction of CNTs  chirality from TEM images.pdf
VibeTube: a code for accurate extraction of CNTs’ chirality from TEM images
ジャーナル論文
著者
ORCID SAMURAI ;
Gaurav Raj (author) (この著者で検索)
;
Emmanuel Picheau (author) (この著者で検索)
ORCID ;
Shaaista Hasan (author) (この著者で検索)
;
Peng-Xiang Hou (author) (この著者で検索)
;
Chang Liu (author) (この著者で検索)
キーワード
carbon nanotubes, chirality, AI for science, TEM, vibe coding
刊行年月日
2026-07-20
更新時刻
2026-07-27 09:50:32 +0900

2024 Nobel prizes in physics and chemistry  from neural network models to materials engineering.pdf
2024 Nobel prizes in physics and chemistry: from neural network models to materials engineering
ジャーナル論文
著者
Masato Okada (author) (この著者で検索)
The University of Tokyo Department of Complexity Science and Engineering, Graduate of Frontier Sciences
キーワード
Neural network, Neuroscience, AI, AI for science, Data-driven science, AI for materials engineering
刊行年月日
2025-12-31
更新時刻
2025-07-17 08:30:16 +0900

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