Robotics & Machine Learning Daily News2024,Issue(Mar.21) :63-63.

Carnegie Mellon University Reports Findings in Machine Learning (Accurate Surfac e and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials)

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :63-63.

Carnegie Mellon University Reports Findings in Machine Learning (Accurate Surfac e and Finite-Temperature Bulk Properties of Lithium Metal at Large Scales Using Machine Learning Interaction Potentials)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Pittsburgh, Pennsylvan ia, by NewsRx editors, research stated, “The properties of lithium metal are key parameters in the design of lithium-ion and lithium-metal batteries. They are d ifficult to probe experimentally due to the high reactivity and low melting poin t of lithium as well as the microscopic scales at which lithium exists in batter ies where it is found to have enhanced strength, with implications for dendrite suppression strategies.”

Key words

Pittsburgh/Pennsylvania/United States/North and Central 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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