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)

Robotics & Machine Learning Daily News2024，Issue(Jul.25) ：68-69.

来源：

NETL
NSTL

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)

扫码查看

Abstract

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.”

Key words

Fuzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Fuzhou University

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航