Data on Machine Learning Described by Researchers at University of New South Wales Sydney (Highly Potent and Low-volume Concentration Additives for Durable Aqueous Zinc Batteries: Machine Learning-enabled Performance Rationalization)

Robotics & Machine Learning Daily News2024，Issue(Jan.24) ：37-38.

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Data on Machine Learning Described by Researchers at University of New South Wales Sydney (Highly Potent and Low-volume Concentration Additives for Durable Aqueous Zinc Batteries: Machine Learning-enabled Performance Rationalization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Machine Learning. According to news reportingoriginating from Kensington, Australia, by NewsRx correspondents, research stated, “The essential virtuesof aqueous zinc battery chemistry stem from the energy-dense zinc metal anode and mild aqueous electrolytes.Yet, their incompatibility - as exposed by zinc’s corrosion and associated dendrite problem - posesa challenge to achieving improved cycle life under practically relevant parameters.”

Key words

Kensington/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/University of New South Wales Sydney

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出版年

2024

Robotics & Machine Learning Daily News

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