首页|Recent Findings in Machine Learning Described by Researchers from University of Stuttgart (Origin of the Yield Stress Anomaly In L12 2 Intermetallics Unveiled W ith Physically Informed Machine-learning Potentials)
Recent Findings in Machine Learning Described by Researchers from University of Stuttgart (Origin of the Yield Stress Anomaly In L12 2 Intermetallics Unveiled W ith Physically Informed Machine-learning Potentials)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Stuttgart, Germany, b y NewsRx editors, research stated, “The yield stress anomaly of L122 intermetal lics such as Ni3Al, 3 Al, Ni3Ga, 3 Ga, Co3(Al,W) 3 (Al,W) is controlled by the s o-called Kear-Wilsdorf lock (KWL), of which the formation and unlocking are gove rned by dislocation cross-slip. Despitethe importance of this anomalous behavio r in L12 2-strengthened alloys, microscopic understanding of theKWL is limited. ”
StuttgartGermanyEuropeCyborgsEme rging TechnologiesMachine LearningUniversity of Stuttgart
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