Exploration of organic superionic glassy conductors by process and materials informatics with lossless graph database

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.