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Filtering by: Author Yibin Xu Funder Japan Science and Technology Agency Type of work Publication Resource type Article

Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes

Description/Abstract:

We present a computational approach for identifying the important descriptors of the ionic conductivities of lithium solid electrolytes. ...

Keyword:

Ionic conductivity, machine learning, grain boundary, ionic conductor, Li battery, grain size, and descriptor

Resource Type:

Article

Author:

Yen-Ju Wu, Takehiro Tanaka, Tomoyuki Komori, Mikiya Fujii, Hiroshi Mizuno, Satoshi Itoh, Tadanobu Takada, Erina Fujita, and Yibin Xu

Date Uploaded:

21/03/2023

Date Modified:

23/03/2023