Fast behavioral VerilogA compact model for stochastic MTJ - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Communication Dans Un Congrès Année : 2021

Fast behavioral VerilogA compact model for stochastic MTJ

Résumé

Spin-Transfer Torque Magnetic Tunnel Junctions (STT-MTJ) are devices featuring stochastic properties. They are promising candidates for non-volatile memory or true random number generators. To design reliable hybrid CMOS circuits including STT-MTJs, one needs to use a compact model accounting for its stochasticity in the circuit simulations. This paper proposes a compact model that accurately mimics the MTJ stochastic switching behavior and meets the needs of fast execution time. The relevance of such a model together with its fast execution velocity are illustrated with a bitstream generator.
Fichier non déposé

Dates et versions

hal-03823963 , version 1 (21-10-2022)

Identifiants

Citer

Etienne Becle, Philippe Talatchian, Guillaume Prenat, Lorena Anghel, Ioan-Lucian Prejbeanu. Fast behavioral VerilogA compact model for stochastic MTJ. ESSDERC 2021 - IEEE 51st European Solid-State Device Research Conference, Sep 2021, Grenoble, France. pp.259-262, ⟨10.1109/ESSDERC53440.2021.9631829⟩. ⟨hal-03823963⟩
13 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More