首页|Investigators from Guilin University of Electronic Technology Have Reported New Data on Machine Learning (Machine Learning-based Comprehensive Prediction Model for L12 Phase-strengthened Feco- ni-based High-entropy Alloys)
Investigators from Guilin University of Electronic Technology Have Reported New Data on Machine Learning (Machine Learning-based Comprehensive Prediction Model for L12 Phase-strengthened Feco- ni-based High-entropy Alloys)
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 Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Guilin, People’s Republic of China , by NewsRx correspondents, research stated, “L1(2) phase-strengthened Fe-Co-Ni- based high-entropy alloys (HEAs) have attracted considerable attention due to th eir excellent mechanical properties. Improving the properties of HEAs through co nventional experimental methods is costly.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of Guangxi Province, Guangxi Science and Technology Project, Central Guiding Local Science and Technology Development Fund Projects, Scientific Research and Technology Development Program of Guilin , Scientific Research and Technology Development Program of Nanning Jiangnan dis trict, Guangxi Key Laboratory of Information Materials, Ministry of Education, I nnovation Project of GUET Graduate Education, MOE Key Lab of Disaster Forecast a nd Control in Engineering in Jinan University, Guangdong Province International Science and Technology Cooperation Project, Open Project Program of Wuhan Nation al Laboratory for Optoelectronics.
GuilinPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningGuilin University of Electronic Technology
NETL
NSTL
