Data-scientific validation of prediction models for the controlled syntheses of exfoliated nanosheets

Yuka Kitamura, Yuki Namiuchi, Hiroaki Imai, Yasuhiko Igarashi and Yuya Oaki

Nanoscale Adv., 2025, 7, 4620
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Efficient design and synthesis of an amorphous conjugated polymer network for a metal-free electrocatalyst of hydrogen evolution reaction

Wakana Hamada, Mafumi Hishida, Ryuto Sugiura, Haruka Tobita, Hiroaki Imai, Yasuhiko Igarashi and Yuya Oaki

J. Mater. Chem. A, 2024, 12, 3294
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The rise of automated curiosity-driven discoveries in chemistry

Latimah Bustillo, Teodoro Laino and Tiago Rodrigues

Chem. Sci., 2023, 14, 10378
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Machine-learning-assisted prediction of the size of microgels prepared by aqueous precipitation polymerization

Daisuke Suzuki, Haruka Minato, Yuji Sato, Ryuji Namioka, Yasuhiko Igarashi, Risako Shibata and Yuya Oaki

Chem. Commun., 2024, 60, 13678
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Capacity-prediction models for organic anode-active materials of lithium-ion batteries: advances in predictors using small data

Haruka Tobita, Yuki Namiuchi, Takumi Komura, Hiroaki Imai, Koki Obinata, Masato Okada, Yasuhiko Igarashi and Yuya Oaki

Energy Adv., 2023, 2, 1014
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Data-driven finding of organic anode active materials for lithium-ion batteries from natural flower scent products using capacity predictors

Haruka Tobita, Kosuke Sakano, Hiroaki Imai, Yusuke Yamashita and Yuya Oaki

J. Mater. Chem. A, 2025
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Amorphous conjugated polymer networks as an emerging class of polymer nanostructures

Yuya Oaki and Kosuke Sato

RSC Appl. Polym., 2025, 3, 78
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Nanosheet‐Based Uneven Thin Film Exhibiting Angle‐Independent Structural Color and Its Application to Detection of Biogenic Amines

Yuri Haraguchi, Hiroaki Imai and Yuya Oaki

Adv Materials Inter, 2022, 9
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Recent Advances in Two-Dimensional Polymer Materials

Yuya OAKI

Kobunshi, 2024, 73, 521
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Semiautomated experiment with a robotic system and data generation by foundation models for synthesis of polyamic acid particles

Kan Hatakeyama-Sato, Hiroki Ishikawa, Shinya Takaishi, Yasuhiko Igarashi, Yuta Nabae and Teruaki Hayakawa

Polym J, 2024, 56, 977
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A Capacity-Prediction Model for Exploration of Organic Anodes: Discovery of 5-Formylsalicylic Acid as a High-Performance Anode Active Material

Takumi Komura, Kosuke Sakano, Yasuhiko Igarashi, Hiromichi Numazawa, Hiroaki Imai and Yuya Oaki

ACS Appl. Energy Mater., 2022, 5, 8990
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Machine Learning and Small Data-Guided Optimization of Silica Shell Morphology on Gold Nanorods

Akhlak U. Mahmood, Melanie M. Ghelardini, Joseph B. Tracy and Yaroslava G. Yingling

Chem. Mater., 2024, 36, 9330
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Fluorine-Free Substrate-Independent Superhydrophobic Coatings by Nanoarchitectonics of Polydispersed 2D Materials

Ryota Hikichi, Yuki Tokura, Yasuhiko Igarashi, Hiroaki Imai and Yuya Oaki

Bulletin of the Chemical Society of Japan, 2023, 96, 766
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Aquatic Functional Liquid Crystals: Design, Functionalization, and Molecular Simulation

Takashi Kato, Junya Uchida, Yoshiki Ishii and Go Watanabe

Advanced Science, 2024, 11
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Machine learning for 2D material–based devices

Yuan Yan, Yimu Yang, Yinchang Ma, Kadin Reed, Shengzhi Li, Shichao Pei, Zhenwen Liang, Xixiang Zhang, Yi Wan, Xiangliang Zhang and Rongyu Lin

Materials Science and Engineering: R: Reports, 2025, 166, 101085
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ML meets MLn: Machine learning in ligand promoted homogeneous catalysis

Jonathan D. Hirst, Samuel Boobier, Jennifer Coughlan, Jessica Streets, Philippa L. Jacob, Oska Pugh, Ender Özcan and Simon Woodward

Artificial Intelligence Chemistry, 2023, 1, 100006
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Machine-learning accelerated identification of exfoliable two-dimensional materials

Mohammad Tohidi Vahdat, Kumar Varoon Agrawal and Giovanni Pizzi

Mach. Learn.: Sci. Technol., 2022, 3, 045014
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When Machine Learning Meets 2D Materials: A Review

Bin Lu, Yuze Xia, Yuqian Ren, Miaomiao Xie, Liguo Zhou, Giovanni Vinai, Simon A. Morton, Andrew T. S. Wee, Wilfred G. van der Wiel, Wen Zhang and Ping Kwan Johnny Wong

Advanced Science, 2024, 11
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Performance Predictors for Organic Cathodes of Lithium-Ion Battery

Kosuke Sakano, Yasuhiko Igarashi, Hiroaki Imai, Shuntaro Miyakawa, Takaya Saito, Yoshiki Takayanagi, Koji Nishiyama and Yuya Oaki

ACS Appl. Energy Mater., 2022, 5, 2074
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Performance Prediction Models with Improved Accuracy and Generalizability for Organic Cathode‐Active Materials of Lithium‐Ion Battery

Rika Yamamoto, Yasuhiko Igarashi, Hiroaki Imai, Taisei Sakata, Shuntaro Miyakawa, Shino Yoshizaki, Takaya Saito and Yuya Oaki

Batteries & Supercaps, 2025, 8
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