Skip to Main Content (Press Enter)

Logo UNIMORE
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNIMORE

|

UNI-FIND

unimore.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Random Telegraph Noise in Resistive Random Access Memories: Compact Modeling and Advanced Circuit Design

Articolo
Data di Pubblicazione:
2018
Citazione:
Random Telegraph Noise in Resistive Random Access Memories: Compact Modeling and Advanced Circuit Design / Puglisi, Francesco Maria; Zagni, Nicolo; Larcher, Luca; Pavan, Paolo. - In: IEEE TRANSACTIONS ON ELECTRON DEVICES. - ISSN 0018-9383. - 65:7(2018), pp. 2964-2972. [10.1109/TED.2018.2833208]
Abstract:
In this paper, we report about the derivation of a physics-based compact model of random telegraph noise (RTN) in HfO2-based resistive random access memory (RRAM) devices. Starting from the physics of charge transport, which is different in the high resistive states and low resistive states, we explore the mechanisms responsible for RTN exploiting a hybrid approach, based on self-consistent physics simulations and geometrical simplifications. Then, we develop a simple yet effective physics-based compact model of RTN valid in both states, which can be steadily integrated in state-of-the-art RRAM compact models. The RTN compact model predictions are validated by comparison with both a large experimental data set obtained by measuring RRAM devices in different conditions, and data reported in the literature. In addition, we show how the model enables advanced circuit simulations by exploring three different circuits for memory, security, and logic applications.
Tipologia CRIS:
Articolo su rivista
Keywords:
Circuit design; compact model; high resistive state (HRS); low resistive state (LRS); physical unclonable function (PUF); random number generator (RNG); random telegraph noise (RTN); resistive random access memory (RRAM); variability; Verilog-A; Electronic, Optical and Magnetic Materials; Electrical and Electronic Engineering
Elenco autori:
Puglisi, Francesco Maria; Zagni, Nicolo; Larcher, Luca; Pavan, Paolo
Autori di Ateneo:
PAVAN Paolo
PUGLISI Francesco Maria
ZAGNI NICOLO'
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1175100
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1175100/337948/TED_2018_RRAM_Final.pdf
Pubblicato in:
IEEE TRANSACTIONS ON ELECTRON DEVICES
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.4.5.0