Paolo Tessariol

A Semi-Analytical Model for Macaroni MOSFETs With Application to Vertical Flash Memories

We present a semianalytical model for the electrostatics and the current-voltage characteristics of Macaroni MOSFETs based on the exact solution of the Poisson equation, which is useful to investigate both the subthreshold and the ON-state regimes of these devices. With the addition of a simplified calculation of the tunneling current, the model is exploited to analyze the program performance of Macaroni NAND flash memories.

Charge retention phenomena in CT silicon nitride: Impact of technology and operating conditions

The aim of this work is to understand charge loss mechanisms in TANOS stack for which charge retention is monitored just after programming in an almost continuous way and voltage is applied during retention experiments in order to obtain zero electric field either on alumina or tunnel oxide. The charge loss mechanisms in TANOS stack can be a quite complicated process: An initial fast DT from interface traps localized at SiN/alumina interface, followed by charge loss through alumina from bulk traps in SiN which influences charge redistribution towards the tunnel oxide, observed only in Si-rich SiN. Programming voltage and stack composition impact trapped charge localization and hence charge redistribution and charge loss, even if the same initial Vfb is considered in charge retention experiments. While the charge loss through tunnel oxide is a DT, the charge loss through alumina depends on temperature and it is the main component of the charge loss in retention experiments for longer time.

Comments on “A General and Transformable Model Platform for Emerging Multi-Gate MOSFETs”

Hong et al. [1] presented an analytical solution for the electrostatic potential in undoped cylindrical MOSFETs, which was then employed within a well-known Pao-Sah integral to yield the device current. This same analytical solution and drain current calculation were presented in 2016 [2] , but such work was not referenced by Hong et al. [1] .