Data-driven robotic experiments accelerate discovery of multi-component electrolyte

A NIMS research team has developed a new method of identifying electrolyte materials with desirable property by combining an automated robotic experiment system and data scientific techniques.

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Shoichi Matsuda, LAMBARD Guillaume, Keitaro Sodeyama, Cell Reports Physical Science. 3, 100832 (2022). "Data-driven automated robotic experiments accelerate discovery of multi-components electrolyte for rechargeable lithium–oxygen batteries"
DOI:10.1016/j.xcrp.2022.100832