首页|New Findings from Auburn University in Machine Learning Provides New Insights (M achine Learning-enabled Prediction and Optimization of Hardness for Nb-ti-v-zr R efractory High Entropy Alloy)
New Findings from Auburn University in Machine Learning Provides New Insights (M achine Learning-enabled Prediction and Optimization of Hardness for Nb-ti-v-zr R efractory High Entropy Alloy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingout of Auburn, Alabama, by NewsRx editors, research stated, “High entropy alloy (HEA) design strategieshave been limited to experimental trial -and -error approaches. However, due to the vast c ompositionalspace of HEAs, efficiently discovering new HEAs with exceptional pe rformance using trial -and -errormethodology is time-consuming and challenging. ”
AuburnAlabamaUnited StatesNorth an d Central AmericaCyborgsEmerging TechnologiesMachine LearningAuburn Univ ersity
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