首页|Harbin Institute of Technology Reports Findings in Machine Learning (Unveiling t he fate of metal leaching in bimetal-catalyzed Fenton-like systems: pivotal role of aqueous matrices and machine learning prediction)
Harbin Institute of Technology Reports Findings in Machine Learning (Unveiling t he fate of metal leaching in bimetal-catalyzed Fenton-like systems: pivotal role of aqueous matrices and machine learning prediction)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Harbin, People’s Repub lic of China, by NewsRx editors, research stated, “Metal-basedcatalytic materia ls exhibit exceptional properties in degrading emerging pollutants within Fenton -likesystems. However, the potential risk of metal leaching has become pressing environmental concern.”
HarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning