首页|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)
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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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.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFudan University
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