首页|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)

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)

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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.”

ShenyangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNitrogen

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.10)