Robotics & Machine Learning Daily News2024,Issue(Oct.25) :61-62.

Findings from Beijing Advanced Innovation Center for Materials Genome Engineering Advance Knowledge in Machine Learning (Prediction of the drop hammer-derived t ear toughness of pipeline steel production lines using literature data and ...)

Robotics & Machine Learning Daily News2024,Issue(Oct.25) :61-62.

Findings from Beijing Advanced Innovation Center for Materials Genome Engineering Advance Knowledge in Machine Learning (Prediction of the drop hammer-derived t ear toughness of pipeline steel production lines using literature data and ...)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “Pipeline transport ation is the most economical means of transporting oil, natural gas, and other e nergy sources over a long distance. With the increasingly harsh service environm ent of pipeline transportation, the requirements of pipeline steel in terms of s trength, hydrogen-induced fracture resistance, and corrosion resistance have inc reased. In areas such as plateaus or deep seas, excellent low-temperature toughness is important to ensure the safe transportation of pipeline steel.”

Key words

Beijing Advanced Innovation Center for M aterials Genome Engineering/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文