首页|Clemson University Details Findings in Machine Learning (Understanding Grain Bou ndary Segregation and Solute Drag Using Computational and Machine Learning Studi es)
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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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.”
ClemsonSouth CarolinaUnited StatesNorth and Central AmericaAlloysCyborgsEmerging TechnologiesMachine Learn ingClemson University
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