Robotics & Machine Learning Daily News2024,Issue(Dec.4) :103-104.

Nanchang University Reports Findings in Machine Learning (Machine learning-assis ted precision inverse design research of ternary cathode materials: A new paradi gm for material design)

南昌大学发表机器学习研究成果(机器学习-辅助精密三元阴极材料逆向设计研究:材料设计的新参数)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :103-104.

Nanchang University Reports Findings in Machine Learning (Machine learning-assis ted precision inverse design research of ternary cathode materials: A new paradi gm for material design)

南昌大学发表机器学习研究成果(机器学习-辅助精密三元阴极材料逆向设计研究:材料设计的新参数)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。据新闻报道研究称,NewsRx记者源于中华人民共和国南昌的报道,锂扩散速率直接影响阴极速率的性能,而锂扩散速率对阴极速率的影响不大采用Edis on Apport方法设计性能优良的阴极材料。这里,一个新的开发了三元猫壳材料精密设计的范例。

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 newsreporting originating in Nanchang, Peop le’s Republic of China, by NewsRx journalists, research stated,“The Li diffusio n rate directly affects the cathode rate performance, and it is inefficient to p recisiondesign cathode materials with excellent rate performance using the Edis on approach method. Here, a newparadigm for the precision design of ternary cat hode materials is exploited.”

Key words

Nanchang/People’s Republic of China/As ia/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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