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Marc Bocquet

Researcher at Aix-Marseille University

Publications -  97
Citations -  1656

Marc Bocquet is an academic researcher from Aix-Marseille University. The author has contributed to research in topics: Resistive random-access memory & Artificial neural network. The author has an hindex of 19, co-authored 97 publications receiving 1280 citations. Previous affiliations of Marc Bocquet include Centre national de la recherche scientifique.

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Robust Compact Model for Bipolar Oxide-Based Resistive Switching Memories

TL;DR: In this article, a physics-based compact model used in electrical simulator for bipolar OxRAM memories is confronted to experimental electrical data and the excellent agreement with these data suggests that this model can be confidently implemented into circuit simulators for design purpose.
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Synchronous Non-Volatile Logic Gate Design Based on Resistive Switching Memories

TL;DR: A theoretical investigation of synchronous NV logic gates based on RS memories (RS-NVL) is presented and special design techniques and strategies are proposed to optimize the structure according to different resistive characteristics of NVMs.
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Resistance controllability and variability improvement in a TaOx-based resistive memory for multilevel storage application

TL;DR: In this article, the authors investigated the multilevel resistance variability in a TaOx-based nanoscale resistive random access memory (RRAM) operated in MLC mode and found that the resistance variability not only depends on the conductive filament size but also is a strong function of oxygen vacancy concentration in it.
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Digital Biologically Plausible Implementation of Binarized Neural Networks With Differential Hafnium Oxide Resistive Memory Arrays.

TL;DR: This work proposes a strategy for implementing low-energy Binarized Neural Networks that employs brain-inspired concepts while retaining the energy benefits of digital electronics, and designs, fabricate, and test a memory array that is optimized for this in-memory computing scheme.