Robotics & Machine Learning Daily News2024,Issue(Jan.15) :38-39.

University of Science and Technology of China Reports Findings in Machine Learning (Spectroscopy-Guided Deep Learning Predicts Solid-Liquid Surface Adsorbate Properties in Unseen Solvents)

Robotics & Machine Learning Daily News2024,Issue(Jan.15) :38-39.

University of Science and Technology of China Reports Findings in Machine Learning (Spectroscopy-Guided Deep Learning Predicts Solid-Liquid Surface Adsorbate Properties in Unseen Solvents)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Anhui, People’s Republic of China, by NewsRx editors, research stated, “Accurately andrapidly acquiring the microscopic properties of a material is crucial for catalysis and electrochemistry.Characterization tools, such as spectroscopy, can be a valuable tool to infer these properties, and whencombined with machine learning tools, they can theoretically achieve fast and accurate prediction results.”

Key words

Anhui/People’s Republic of China/Asia/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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