首页|Chongqing University Researcher Has Provided New Study Findings on Machine Learn ing (Optimization of noncollinear magnetic ordering temperature in Y-type hexafe rrite by machine learning)
Chongqing University Researcher Has Provided New Study Findings on Machine Learn ing (Optimization of noncollinear magnetic ordering temperature in Y-type hexafe rrite by machine learning)
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 – Data detailed on artificial intelligen ce have been presented. According to news reportingout of Chongqing, People’s R epublic of China, by NewsRx editors, research stated, “Searching the optimaldop ing compositions of the Y-type hexaferrite Ba2Mg2Fe12O22 remains a long-standing challenge forenhanced non-collinear magnetic transition temperature (TNC).”
Chongqing UniversityChongqingPeople’ s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning