首页|Investigators at Fuzhou University Report Findings in Machine Learning (Computer -aided Design of Covalent Organic Frameworks for Sf6 Capture: the Combination of High-throughput Screening and Machine Learning)

Investigators at Fuzhou University Report Findings in Machine Learning (Computer -aided Design of Covalent Organic Frameworks for Sf6 Capture: the Combination of High-throughput Screening and Machine Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Fuzhou, People’s Re public of China, by NewsRx correspondents, research stated, “Efficientlyseparat ing sulfur hexafluoride/nitrogen (SF6/N-2) poses an urgent challenge. Four coval entorganic frameworks (COFs) (Re %> 80% ) with greater performance in SF6/N-2 separation experimentwere selected from t he CURATED database by high-throughput screening in this paper.”

FuzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningFuzhou University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.25)