Robotics & Machine Learning Daily News2024,Issue(Dec.17) :35-36.

Studies from Hefei University of Technology Provide New Data on Machine Learning (Machine Learning-based Techno-econoenvironmental Analysis of Co2-to-olefins P rocess for Screening the Optimal Catalyst and Hydrogen Color)

Robotics & Machine Learning Daily News2024,Issue(Dec.17) :35-36.

Studies from Hefei University of Technology Provide New Data on Machine Learning (Machine Learning-based Techno-econoenvironmental Analysis of Co2-to-olefins P rocess for Screening the Optimal Catalyst and Hydrogen Color)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “CO2to light olefins (CTLO) is an attractive strategy for CO2 fixation to obtain high-value-added ch emicalproducts. Selecting the optimal catalyst and hydrogen source for the proc ess has become increasinglychallenging due to the wide range of developed catal ysts and diverse hydrogen sources available.”

Key words

Hefei/People’s Republic of China/Asia/Cyborgs/Elements/Emerging Technologies/Gases/Hydrogen/Inorganic Chemicals/Machine Learning/Hefei University of Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文