Robotics & Machine Learning Daily News2024,Issue(Apr.11) :28-29.

Iowa State University Reports Findings in Machine Learning (Insights into Lithiu m Sulfide Glass Electrolyte Structures and Ionic Conductivity via Machine Learni ng Force Field Simulations)

Robotics & Machine Learning Daily News2024,Issue(Apr.11) :28-29.

Iowa State University Reports Findings in Machine Learning (Insights into Lithiu m Sulfide Glass Electrolyte Structures and Ionic Conductivity via Machine Learni ng Force Field Simulations)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Ames, Iowa, by NewsRx correspondents, research stated, “Sulfide-based solid electrolytes(SEs) are imp ortant for advancing all-solid-state batteries (ASSBs), primarily due to their h igh ionicconductivities and robust mechanical stability. Glassy SEs (GSEs) comp rising mixed Si and P glassformers are particularly promising for their synthes is process and their ability to prevent lithium dendritegrowth.”

Key words

Ames/Iowa/United States/North and Cen tral America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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