Robotics & Machine Learning Daily News2024,Issue(Sep.16) :86-87.

Findings on Machine Learning Detailed by Investigators at Fudan University (Desi gning Heterodiatomic Carbon Hydrangea Superstructures Via Machine Learning-regul ated Solvent-precursor Interactions for Superior Zinc Storage)

Robotics & Machine Learning Daily News2024,Issue(Sep.16) :86-87.

Findings on Machine Learning Detailed by Investigators at Fudan University (Desi gning Heterodiatomic Carbon Hydrangea Superstructures Via Machine Learning-regul ated Solvent-precursor Interactions for Superior Zinc Storage)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Carbon superstruc tures with exqui site morphologies and functionalities show appealing prospects in energy realms, but the systematic tailoring of their microstructures remains a perplexing topi c. Here, hydrangea-shaped heterodiatomic carbon superstructures (CHS) are design ed using a solution phase manufacturing route, wherein machine learning workflow is applied to screen precursor-matched solvent for optimizing solvent-precursor interaction.”

Key words

Shanghai/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Fudan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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