Random Telegraph Signal Noise Arising from Grain Boundary Traps in Nano-scale Poly-Si Nanowire Thin-Film Transistors

Abstract

Nano-scale poly-Si thin-film transistor (TFT) is a promising device for the three-dimensional integrated circuits (3D IC) and 3D stacked flash memories. Random telegraph signal noise (RTN) arising from grain boundary traps is identified and a grain-boundary-induced-fluctuation (GBIF) model is proposed for the first time. Amonia plasma treatment can suppress this RTN source effectively.