首页|Researchers’ Work from Pennsylvania State University (Penn State) Focuses on Mac hine Learning (Design and Validation of Refractory Alloys Using Machine Learning , Calphad, and Experiments)
Researchers’ Work from Pennsylvania State University (Penn State) Focuses on Mac hine Learning (Design and Validation of Refractory Alloys Using Machine Learning , Calphad, and Experiments)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of University Park, Penn sylvania, by NewsRx editors, research stated, “Refractory multicomponent alloys (RMCAs) have garnered attention as potential materials for high-temperature stru ctural applications, due to their excellent mechanical properties. However, conv entional alloy design has limitations in terms of constrained compositional spac e and a lack of computational databases with adequate coverage.”
University ParkPennsylvaniaUnited StatesNorth and Central AmericaAlloysCyborgsEmerging TechnologiesMachine LearningPennsylvania State University (Penn State)
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