Robotics & Machine Learning Daily News2024,Issue(Aug.16) :6-7.

Clemson University Details Findings in Machine Learning (Understanding Grain Bou ndary Segregation and Solute Drag Using Computational and Machine Learning Studi es)

Robotics & Machine Learning Daily News2024,Issue(Aug.16) :6-7.

Clemson University Details Findings in Machine Learning (Understanding Grain Bou ndary Segregation and Solute Drag Using Computational and Machine Learning Studi es)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Clemson, South Carol ina, by NewsRx journalists, research stated, “Grain boundary (GB)solute segrega tion has been used as a strategy to tailor the properties and processing pathway s of a widerange of metallic alloys. GB solute drag results when segregated all oying elements exert a resistive forceon migrating GBs hindering their motion.”

Key words

Clemson/South Carolina/United States/North and Central America/Alloys/Cyborgs/Emerging Technologies/Machine Learn ing/Clemson University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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