首页|Studies from Chandigarh University in the Area of Machine Learning Described (Pt /zno and Pt/few-layer Graphene/zno Schottky Devices With Al Ohmic Contacts Using Atlas Simulation and Machine Learning)
Studies from Chandigarh University in the Area of Machine Learning Described (Pt /zno and Pt/few-layer Graphene/zno Schottky Devices With Al Ohmic Contacts Using Atlas Simulation and 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 – A new study on Machine Learning is now available. According to news reportingoriginating in Punjab, India, by NewsRx journalists, research stated, “The search for highly efficient photodetectors,d riven by various applications ranging from environmental monitoring to communica tionsystems and imaging, continues to drive research into novel materials and i nnovative device architectures.This paper offers an in-depth comparative analys is to optimize the performance of two types of Schottkyultraviolet (UV) photode tectors: platinum (Pt)/zinc oxide (ZnO) and Pt/few-layer graphene (FLG)/ZnO,bot h featuring aluminum (Al) ohmic contacts.”
PunjabIndiaAsiaCyborgsEmerging T echnologiesMachine LearningChandigarh University