Best performance of organic material for lithium battery anode using materials informatics

Best performance of organic material for lithium battery anode using materials informatics
Accelerated discovery of high-performance organic anode based on experiment-oriented MI. Credit: © Yuya Oaki

At JST Strategic Basic Research Programs, the research group led by associate professor Yuya Oaki and graduate student (at the time) Hiromichi Numazawa of the Faculty of Science and Technology, Keio University established a new design policy for organic materials for the anode of lithium-ion secondary cells in a joint work with research associate Yasuhiko Igarashi of Graduate School of Frontier Sciences, The University of Tokyo, through the use of Materials Informatics (MI). A high-capacity and high-stability material was successfully obtained via an extremely small number of experiments.

In order to conserve resources for batteries, organic materials without the use of metal are being researched worldwide. Traditionally, the search for anode materials for lithium batteries and sodium-ion batteries had to rely on trial and error or experience and intuition of the researchers.

MI generally performs machine learning for large-scale data (big data), and is a technique that reduces involvement of researchers' experience and intuition. One of the challenges was how experimental researchers use their own small-scale data and empirical knowledge.

The research group examined a method, 'experiment-oriented MI,' which fuses small-scale but relatively accurate experimental data with experience and intuition of experimental researchers, and has achieved an improved yield of nanosheet materials and so on.

In this study, the of 16 as an anode was measured; further, a small number of factors that can determine the capacity using sparse modeling, which is a data science technique, was identified. Based on this result, a capacity prediction formula was developed by considering the identified factors as variables (prediction model). Next, 11 commercially available , with expectation for a certain capacity as an anode, were selected partially based on the experience and intuition of researchers, and the predicted capacity value was calculated prior to the experiment. Further, the capacity of three compounds with the highest predicted value was measured, and two compounds were observed to exhibit high capacity. Subsequently, one of these compounds, the thiophene compound, was polymerized and a polymer anode material with improved capacity, durability, and quick charge-discharge property was obtained.

The design policy for the organic material established in the present study is important for further improvement in performance. Combining a small experimental dataset, experience and of researchers, and machine learning led to a successful discovery of a high-performance material. It also showed the effectiveness of combining experimental science and MI in improving the efficiency of material search.

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More information: Hiromichi Numazawa et al, Experiment‐Oriented Materials Informatics for Efficient Exploration of Design Strategy and New Compounds for High‐Performance Organic Anode, Advanced Theory and Simulations (2019). DOI: 10.1002/adts.201900130
Provided by Japan Science and Technology Agency
Citation: Best performance of organic material for lithium battery anode using materials informatics (2019, September 20) retrieved 2 April 2020 from
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