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的新报告。根据新闻报道在中国保定，NewsRx编辑，研究称，“机器学习”利用(ML)集成工作流程指导al-ni共掺杂cocrfe基高性能材料的设计提高耐腐蚀性的合金(HEAs)。ML指导HEAs的化学组成设计由Co、Cr、Fe、Ni、Al组成,相由FCC+BCC演化为单一FCC。
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 reportingout of Baoding, People’s Republic of China, by NewsRx editors, research stated, “A machine learning(ML) integrated workflow was utilized to guide the design of Al-Ni co-doping CoCrFe-based high-e ntropyalloys (HEAs) for improved corrosion resistance. ML directs the design of HEAs to chemical compositionconsisting of Co, Cr, Fe, Ni, Al with phase evolve d from FCC plus BCC to single FCC.”
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