首页|Studies from South China Normal University Provide New Data on Machine Learning (Prediction of Phase and Tensile Properties of Selective Laser Melting Manufactu red High Entropy Alloys By Machine Learning)
Studies from South China Normal University Provide New Data on Machine Learning (Prediction of Phase and Tensile Properties of Selective Laser Melting Manufactu red High Entropy Alloys By Machine Learning)
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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 reportingoriginating in Guangzhou, People’s R epublic of China, by NewsRx journalists, research stated, “Selectivelaser melti ng (SLM) for high entropy alloys (HEAs) holds significant promise in commercial applications,and substantial experimental research efforts have been directed t oward this domain. To take advantageof the reported experimental data of SLM ma nufactured (SLM-ed) HEAs and reduce unnecessary experimentation,this study inco rporates machine learning (ML) techniques for the phase and tensile propertiesp rediction of SLMed HEAs, thus presenting a novel avenue for accelerating the dis covery of new SLM-edHEAs.”
GuangzhouPeople’s Republic of ChinaA siaAlloysCyborgsEmerging TechnologiesMachine LearningSouth China Norma l University