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Physics-based predictive tool will speed up battery and superconductor research
Physics-based predictive tool will speed up battery and superconductor research

約7000種類の化合物の安定性を単純な数式で表現(1200_800).jpg

Researchers from the Institute of Industrial Science, The University of Tokyo and collaborating partners have developed physics-based guidelines that will benefit host-guest intercalated materials research. By using only two guest properties and eight host-derived descriptors, they correctly predicted the intercalation energies and stabilities of many host-guest systems. This work is an important advance that will minimize the extensive trial-and-error laboratory work that otherwise slows down research and development in battery and superconductor technologies.