A Capacity-Prediction Model for Exploration of Organic Anodes: Discovery of 5-Formylsalicylic Acid as a High-Performance Anode Active Material
- Takumi KomuraTakumi KomuraDepartment of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, JapanMore by Takumi Komura
- Kosuke SakanoKosuke SakanoDepartment of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, JapanMore by Kosuke Sakano
- Yasuhiko IgarashiYasuhiko IgarashiFaculty of Engineering, Information and Systems, University of Tsukuba, 1-1-1 Tennodai, Tsukuba 305-8573, JapanJST, PRESTO, 4-1-8 Honcho, Kawaguchi, Saitama 332-0012, JapanMore by Yasuhiko Igarashi
- Hiromichi NumazawaHiromichi NumazawaDepartment of Applied Chemistry, Faculty of Science and Technology, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, JapanMore by Hiromichi Numazawa
- Hiroaki Imai
- , and
- Yuya Oaki*
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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, 1040-1043. https://doi.org/10.1246/cl.220345