首页|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 ...)
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 ...)
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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.”
Beijing Advanced Innovation Center for M aterials Genome EngineeringBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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