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Bayesian optimisation with transfer learning for NASICON-type solid electrolytes for all-solid-state Li-metal batteries

Hiroko Fukuda, Shunya Kusakawa, K. Nakano, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Masayuki Karasuyama, Ichiro Takeuchi, Takaaki Natori, Yasuharu Ono

2022RSC Advances17 citationsDOIOpen Access PDF

Abstract

, BO with transfer learning. The present study successfully demonstrated that BO with transfer learning can search for optimal compositions two times as rapid as the conventional BO approach. This approach can be widely applicable for the optimisation of various functional materials as well as ionic conductors.

Topics & Concepts

Fast ion conductorSolid-stateElectrolyteMaterials scienceTransfer of learningMetalChemical engineeringComputer scienceChemistryArtificial intelligenceElectrodeMetallurgyEngineeringPhysical chemistryAdvanced Battery Materials and TechnologiesAdvancements in Battery MaterialsAdvanced Battery Technologies Research
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