Online ISSN : 1884-6440
Print ISSN : 0385-1036
ISSN-L : 0385-1036
特集:機械学習と膜工学の接点を探る
カーボンナノチューブ不織膜における深層学習を用いた仮想実験
森田 裕史 本田 隆室賀 駿中島 秀朗清水 太陽小橋 和文岡崎 俊也畠 賢治
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ジャーナル オープンアクセス

2021 年 46 巻 6 号 p. 353-358

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Virtual experiment of carbon nanotube (CNT) film based on artificial intelligence is examined. As reported in many previous papers, artificial intelligence can create many kinds of images and data and using those technics many researchers have tried to develop the high functional materials using AI. In this study, one of the deep learning technics, such as generative adversarial network, is introduced to derive the images and properties of CNT films, and its application is explained.
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