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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
    Takumi Komura
    Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
  • Kosuke Sakano
    Kosuke Sakano
    Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
  • Yasuhiko Igarashi
    Yasuhiko Igarashi
    Faculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8573, Japan
    JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
  • Hiromichi Numazawa
    Hiromichi Numazawa
    Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
  • Hiroaki Imai
    Hiroaki Imai
    Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
    More by Hiroaki Imai
  • , and 
  • Yuya Oaki*
    Yuya Oaki
    Department of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan
    JST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, Japan
    *Email: [email protected]
    More by Yuya Oaki
Cite this: ACS Appl. Energy Mater. 2022, 5, 7, 8990–8998
Publication Date (Web):July 6, 2022
https://doi.org/10.1021/acsaem.2c01472
Copyright © 2022 American Chemical Society

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    Abstract

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    Development of high-performance organic energy storage is one of the important challenges in recent materials science. Molecular design and synthesis have potential for enhancement of the performances. Efficient exploration and design of the molecules are required in a wide search space. In the present work, a capacity prediction model for organic anodes was constructed on small experimental data by sparse modeling, a method of machine learning, combined with our chemical insights. The straightforward linear regression model facilitated discovery of a high-performance active material for organic anodes in a limited number of experiments. A recommended compound, 5-formylsalicylic acid (SA-CHO), showed one of the highest performances in recent works, i.e., a specific capacity of 873 mA h g–1 at 100 mA g–1 (sample number: n = 3) with rate performance and cycle stability. The model can be applied to explore organic anode active materials with higher specific capacity.

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsaem.2c01472.

    • Performances in previous works (Figure S1, Table S1); list and performances of compounds 125 (Table S2, Figures S2 and S3); training dataset (Table S2); reference compounds AF (Scheme S1); validation of the prediction accuracy (Figure S4); list and performances of compounds 26127 (Scheme S2, Table S4, Figure S5); FT-IR spectra of SA-CHO (Figure S6); Charge–discharge curves of SA-CHO (Figure S7) (PDF)

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    Cited By

    This article is cited by 1 publications.

    1. Kan Hatakeyama-Sato, Choitsu Go, Takahiro Kaseyama, Takuji Yoshimoto, Kenichi Oyaizu. Accelerating Charge/Discharge of Lithium Iron Phosphate by Charge Mediation Reaction of Poly(dimethylfluoflavin-substituted norbornene). Chemistry Letters 2022, 51 (11) , 1040-1043. https://doi.org/10.1246/cl.220345

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