Recent Findings from Beihang University Highlight Research in Machine Learning ( Interpretable machine learning for materials discovery: Predicting CO2 adsorptio n properties of metal-organic frameworks)

Robotics & Machine Learning Daily News2024，Issue(Sep.3) ：119-119.

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Recent Findings from Beihang University Highlight Research in Machine Learning ( Interpretable machine learning for materials discovery: Predicting CO2 adsorptio n properties of metal-organic frameworks)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Beijing, P eople’s Republic of China, by NewsRx correspondents, research stated, “Metalorganic frameworks (MOFs), as novel porous crystalline materials with high porosity and a large specificsurface area, have been increasingly utilized for CO2 adso rption.”

Key words

Beihang University/Beijing/People’s Re public of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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