| Journal Title /掲載ジャーナル名 |
npj Computational Materials |
| Publication Year and Month /掲載年月 |
July, 2022 |
| Paper Title /論文タイトル |
Exploration of organic superionic glassy conductors by process and materials informatics with lossless graph databass |
| DOI /論文DOI |
10.1038/s41524-022-00853-0 |
| Author of Waseda University /本学の著者 |
OYAIZU, Kenichi(Professor, Faculty of Science and Engineering, School of Advanced Science and Engineering):Corresponding Author, Last Author |
| Related Websites /関連Web |
– |
| Abstract /抄録 |
Data-driven material exploration is a ground-breaking research style; however, daily experimental results are difficult to record, analyze, and share. We report a data platform that losslessly describes the relationships of structures, properties, and processes as graphs in electronic laboratory notebooks. As a model project, organic superionic glassy conductors were explored by recording over 500 different experiments. Automated data analysis revealed the essential factors for a remarkable room temperature ionic conductivity of 10−4–10−3 S cm−1 and a Li+ transference number of around 0.8. In contrast to previous materials research, everyone can access all the experimental results, including graphs, raw measurement data, and data processing systems, at a public repository. Direct data sharing will improve scientific communication and accelerate integration of material knowledge. |
