Robotics & Machine Learning Daily News2024,Issue(Nov.4) :141-142.

Findings from Southwest Minzu University Yields New Findings on Photocatalytics (Machine Learning Accelerates the Screening of Efficient Metal-oxide Catalysts f or Photocatalytic Water Splitting)

Robotics & Machine Learning Daily News2024,Issue(Nov.4) :141-142.

Findings from Southwest Minzu University Yields New Findings on Photocatalytics (Machine Learning Accelerates the Screening of Efficient Metal-oxide Catalysts f or Photocatalytic Water Splitting)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Nanotechnol ogy - Photocatalytics. According to news reporting from Chengdu, People’s Republ ic of China, by NewsRx journalists, research stated, “Photocatalytic water split ting represents a sustainable avenue for hydrogen production, yet the traditiona l trialand -error approach for identifying efficient photocatalysts among numero us candidates is cumbersome. In this paper, we introduce a machine learning (ML) -driven approach for rapid screening of promising metal oxide photocatalysts fo r hydrogen generation.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Nanotechnology/Photocataly st/Photocatalytics/Southwest Minzu University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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