Researchers at University of Waterloo Target Machine Learning (Development of th e Co2 Adsorption Model On Porous Adsorbent Materials Using Machine Learning Algo rithms)

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：39-40.

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Researchers at University of Waterloo Target Machine Learning (Development of th e Co2 Adsorption Model On Porous Adsorbent Materials Using Machine Learning Algo rithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting from Waterloo, Canada, by NewsRx journalists, research stated, “Porous adsorbents have common characteristics, such as high p orosity and a large specific surface area. These characteristics, attributed to the internal structure of the material, significantly affect their adsorption pe rformance.” Financial support for this research came from Natural Resources Canada.

Key words

Waterloo/Canada/North and Central Amer ica/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/University of Waterloo

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出版年

2024

Robotics & Machine Learning Daily News

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