首页|Report Summarizes Machine Learning Study Findings from Pennsylvania State Univer sity (Penn State) (Quantitative Analysis of Mos2 Thin Film Micrographs With Mach ine Learning)
Report Summarizes Machine Learning Study Findings from Pennsylvania State Univer sity (Penn State) (Quantitative Analysis of Mos2 Thin Film Micrographs With Mach ine 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 – A new study on Machine Learning is now available. According to news reportingoriginating from University Park, Pennsy lvania, by NewsRx correspondents, research stated, “Isolatingthe features assoc iated with different materials growth conditions is important to facilitate the tuning ofthese conditions for effective materials growth and characterization. This study presents machine learningmodels for classifying atomic force microsc opy (AFM) images of thin film MoS2 based on their growthtemperatures.”
University ParkPennsylvaniaUnited St atesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learnin gPennsylvania State University (Penn State)