Researchers at Harbin University Have Reported New Data on Machine Learning (Pre diction, Interpretation and Extrapolation for Shear Modulus and Bulk Modulus of Solid-state Electrolytes Based On Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Mar.28) ：60-61.

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Researchers at Harbin University Have Reported New Data on Machine Learning (Pre diction, Interpretation and Extrapolation for Shear Modulus and Bulk Modulus of Solid-state Electrolytes Based On Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Heilongjiang, Peopl e's Republic of China, by NewsRx correspondents, research stated, “The dendrite growth is a major challenge in the metal battery applications, and solid-state e lectrolytes (SSEs) have a better dendrite suppression ability than liquid electr olytes. The shear modulus (G) and bulk modulus (K) are important indicators to m easure the suppression ability of SSEs.”

Key words

Heilongjiang/People's Republic of China/Asia/Cyborgs/Electrolytes/Emerging Technologies/Inorganic Chemicals/Machi ne Learning/Harbin University

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出版年

2024

Robotics & Machine Learning Daily News

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