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.

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]

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

Puglisi, Francesco Maria
;
Zagni, Nicolo;Larcher, Luca;Pavan, Paolo
2018

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.
2018
65
7
2964
2972
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]
Puglisi, Francesco Maria; Zagni, Nicolo; Larcher, Luca; Pavan, Paolo
File in questo prodotto:
File Dimensione Formato  
TED_2018_RRAM_Final.pdf

Open access

Tipologia: Versione dell'autore revisionata e accettata per la pubblicazione
Dimensione 3.23 MB
Formato Adobe PDF
3.23 MB Adobe PDF Visualizza/Apri
VQR_Random_Telegraph_Noise_in_Resistive_Random_Access_Memories_Compact_Modeling_and_Advanced_Circuit_Design.pdf

Accesso riservato

Tipologia: Versione pubblicata dall'editore
Dimensione 2.38 MB
Formato Adobe PDF
2.38 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1175100
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 62
  • ???jsp.display-item.citation.isi??? 56
social impact