摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习新报告。根据新闻报道来自中国人民共和国广州的NewsRx记者，研究称，“选择性”用于高熵合金(HEAs)的激光熔凝(SLM)在工业应用中具有重要的前景，大量的实验研究工作已被引向这一领域。利用在已报道的SLM MA实验数据的基础上，制作了(SLM-ed)HEAs，减少了不必要的实验，本研究采用机器学习(ML)技术对材料的相态和拉伸性能进行研究预测SLMed HEAs，为加快新SLM-ED的发布提供了一条新途径海斯
Abstract
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.”
NETL
NSTL