Robotics & Machine Learning Daily News2024,Issue(Jun.10) :120-120.

Chinese Academy of Sciences Reports Findings in Machine Learning (Machine learni ng and experimentally exploring the controversial role of nitrogen in CO2 uptake by waste-derived nitrogen-containing porous carbons)

中国科学院报告了机器学习的发现(机器学习和实验探索氮在含氮多孔碳吸收二氧化碳中的有争议的作用)

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :120-120.

Chinese Academy of Sciences Reports Findings in Machine Learning (Machine learni ng and experimentally exploring the controversial role of nitrogen in CO2 uptake by waste-derived nitrogen-containing porous carbons)

中国科学院报告了机器学习的发现(机器学习和实验探索氮在含氮多孔碳吸收二氧化碳中的有争议的作用)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习的新研究是一篇报告的主题。根据NewsRx记者从沈阳发回的新闻报道,研究表明:“废弃含氮多孔炭被广泛接受为有前途的碳捕获材料,但氮在CO吸收中的作用受到高度控制,这对设计高CO吸收多孔炭提出了挑战。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting originating from Shenyang, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Waste-deri ved nitrogen-containing porous carbons were widely accepted as promising carbon capture materials. However, roles of nitrogen in CO uptake were highly controver sial, posing a challenge in designing high CO uptake porous carbons.”

Key words

Shenyang/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Nitrogen

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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