首页|Findings from Indian Institute of Technology Reveals New Findings on Machine Lea rning (Leveraging Machine Learning To Minimize Experimental Trials and Predict H ot Deformation Behaviour In Dual Phase High Entropy Alloys)
Findings from Indian Institute of Technology Reveals New Findings on Machine Lea rning (Leveraging Machine Learning To Minimize Experimental Trials and Predict H ot Deformation Behaviour In Dual Phase High Entropy Alloys)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of New Delhi, India, by NewsRx e ditors, research stated, “In recent time, high entropy alloys (HEAs)are widely used due to their wide design space and remarkable properties allowing a vast ra nge of propertyvariations with myriads of possible combinations of constituent elements. This research utilizes machinelearning techniques, including Random F orest (RF), K-Nearest Neighbors (KNN), XGBoost (XGB), DecisionTree (DT), and Su pport Vector Regressor (SVR), to predict the flow stress behavior of the dualFC C phase CoCrCu1.2FeNi high entropy alloy (HEA) at new temperature and strain rat es to reduce theexperiments dependency.”
New DelhiIndiaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningIndian Institute of Technology
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