Tier‐grown Expansion of Design‐of‐Experiments Parameter Spaces for Synthesis of a Nanometer‐scale Macrocycle
Misato Akiyoshi; Koki Ikemoto; Hioyuki Isobe
Chemistry – An Asian Journal, 08 Dec. 2022, Peer-reviewed, Lead author
Synthesis of a Negatively Curved Nanocarbon Molecule with an Octagonal Omphalos via Design‐of‐Experiments Optimizations Supplemented by Machine Learning
Koki Ikemoto; Misato Akiyoshi; Tatsuru Mio; Kaito Nishioka; Sota Sato; Hiroyuki Isobe
Angewandte Chemie International Edition, 09 Jun. 2022, Peer-reviewed
Perpendicularly oriented 2D perovskite thin films prepared using the bar-coating method and DMSO additive
Chemical Communications, 2021, Peer-reviewed, Lead author
Misc.
Synthesis of a Negatively Curved Nanocarbon Molecule with an Octagonal Omphalos via Design-of-Experiments Optimizations Supplemented by Machine Learning
秋吉美里; 池本晃喜; 美尾樹; 西岡海人; 佐藤宗太; 磯部寛之
基礎有機化学討論会要旨集, 2022
Vertical alignment of layered perovskite compounds by controlling crystal growth
秋吉美里; 藤田正博; 竹岡裕子; 陸川政弘
応用物理学会春季学術講演会講演予稿集(CD-ROM), 2020
Presentations
Spatially and Temporally Controlled Surface Oxidation of DNA Origami Monolayer by C60 on AFM Tip
Li Shen; Andrin O.; Misato Akiyoshi; Akinori Kazuya; Yoko Yamakoshi
247th ECS Meeting, May 2025
実験計画法と機械学習の組み合わせによる反応条件最適化
秋吉美里; 池本晃喜; 小林彩乃; 北弘志; 高秀雄; 磯部寛之
⽇本化学会第 105 春季年会, Mar. 2025
実験計画法と機械学習を用いたナノカーボン分子の合成
秋吉美里; 池本晃喜; 美尾樹; 岡海人; 佐藤宗太; 磯部寛之
第 55 回構造有機若⼿の会夏の学校, Jul. 2024
Synthesis of Gigantic Nanocarbon Molecules via Optimization of Macrocyclization by Design-of-Experiments and Machine Learning
秋吉美里
第14回大津会議, Oct. 2023
Synthesis of Gigantic Nanocarbon Molecules via Optimization of Macrocyclization by Design-of-Experiments and Machine Learning
秋吉美里; 池本晃喜; 美尾樹; 岡海人; 佐藤宗太; 磯部寛之
⽇本化学会第 103 春季年会, Mar. 2023
Synthesis of a Negatively Curved Nanocarbon Molecule with an Octagonal Omphalos via Design-of-Experiments Optimizations Supplemented by Machine Learning
Misato Akiyoshi; Koki Ikemoto; Tatsuru Mio; Kaito Nishioka; Sota Sato; Hiroyuki Isobe
The 22nd Tateshina Conference on Organic Chemistry, Nov. 2022