World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
51
Citations
12846
World Ranking
3783
National Ranking
65

Overview

Damien Querlioz is affiliated with the University of Paris-Saclay in France. Their research primarily spans the fields of engineering and computer science, with a strong focus on electrical and electronic engineering and artificial intelligence.

Their work extensively covers topics related to advanced memory and neural computing, ferroelectric and negative capacitance devices, neural networks and reservoir computing, neural dynamics and brain function, and CCD and CMOS imaging sensors. Neuroscience and neural engineering also feature among their research interests.

Frequent co-authors in their publications include:

  • Julie Grollier
  • Elisa Vianello
  • Tifenn Hirtzlin
  • Jean-Michel Portal
  • Maxence Ernoult

Damien Querlioz has contributed to multiple high-impact venues. Notable publication venues include:

  • arXiv (Cornell University)
  • Nature Communications
  • Nature Electronics
  • Frontiers in Neuroscience
  • Communications Engineering

Some of their recent papers are:

  • "Neuromorphic spintronics" (2020, Nature Electronics)
  • "Roadmap on emerging hardware and technology for machine learning" (2020, Nanotechnology)
  • "In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling" (2021, Nature Electronics)
  • "Role of non-linear data processing on speech recognition task in the framework of reservoir computing" (2020, arXiv (Cornell University))
  • "Roadmap to neuromorphic computing with emerging technologies" (2024, APL Materials)

Best Publications

  • Neuromorphic computing with nanoscale spintronic oscillators

    Jacob Torrejon;Mathieu Riou;Flavio Abreu Araujo;Sumito Tsunegi

  • Neuromorphic spintronics

    Unknown

  • Physics for neuromorphic computing

    Danijela Markovic;Alice Mizrahi;Damien Querlioz;Julie Grollier

  • Vowel recognition with four coupled spin-torque nano-oscillators

    Miguel Romera;Philippe Talatchian;Sumito Tsunegi;Flavio Abreu Araujo;Flavio Abreu Araujo

  • Spintronic Nanodevices for Bioinspired Computing

    Julie Grollier;Damien Querlioz;Mark D. Stiles

  • Immunity to Device Variations in a Spiking Neural Network With Memristive Nanodevices

    Damien Querlioz;Olivier Bichler;Philippe Dollfus;Christian Gamrat

  • Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems

    Adrien F. Vincent;Jerome Larroque;Nicolas Locatelli;Nesrine Ben Romdhane

  • Phase change memory as synapse for ultra-dense neuromorphic systems: Application to complex visual pattern extraction

    Manan Suri;Olivier Bichler;Damien Querlioz;Olga Cueto

  • Plasticity in memristive devices for spiking neural networks

    Sylvain Saïghi;Christian G. Mayr;Teresa Serrano-Gotarredona;Heidemarie Schmidt

  • Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses

    M. Suri;D. Querlioz;O. Bichler;G. Palma

  • Simulation of a memristor-based spiking neural network immune to device variations

    Damien Querlioz;Olivier Bichler;Christian Gamrat

  • Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture

    O. Bichler;M. Suri;D. Querlioz;D. Vuillaume

  • Skyrmion Gas Manipulation for Probabilistic Computing

    D. Pinna;F. Abreu Araujo;Joo-Von Kim;Vincent Cros

  • 2012 Special Issue: Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity

    Olivier Bichler;Damien Querlioz;Simon J. Thorpe;Jean-Philippe Bourgoin

  • Neural-like computing with populations of superparamagnetic basis functions.

    Alice Mizrahi;Tifenn Hirtzlin;Akio Fukushima;Hitoshi Kubota

  • Roadmap on emerging hardware and technology for machine learning.

    Karl Berggren;Qiangfei Xia;Konstantin K. Likharev;Dmitri B. Strukov

  • Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing

    D. Vodenicarevic;N. Locatelli;A. Mizrahi;J. S. Friedman

  • CBRAM devices as binary synapses for low-power stochastic neuromorphic systems: Auditory (Cochlea) and visual (Retina) cognitive processing applications

    M. Suri;O. Bichler;D. Querlioz;G. Palma

  • Physical aspects of low power synapses based on phase change memory devices

    Manan Suri;Olivier Bichler;Damien Querlioz;Boubacar Traoré

  • In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling

    Thomas Dalgaty;Niccolo Castellani;Clément Turck;Kamel-Eddine Harabi

  • Skyrmion Gas Manipulation for Probabilistic Computing

    Daniele Pinna;Flavio Abreu Araujo;Joo-Von Kim;Vincent Cros

  • Suppression of the orientation effects on bandgap in graphene nanoribbons in the presence of edge disorder

    D. Querlioz;Y. Apertet;A. Valentin;K. Huet

  • Bioinspired Programming of Memory Devices for Implementing an Inference Engine

    Damien Querlioz;Olivier Bichler;Adrien Francis Vincent;Christian Gamrat

Frequent Co-Authors

Jacques-Olivier Klein
Jacques-Olivier Klein University of Paris-Saclay
Weisheng Zhao
Weisheng Zhao Beihang University
Vincent Cros
Vincent Cros University of Paris-Saclay
Hitoshi Kubota
Hitoshi Kubota National Institute of Advanced Industrial Science and Technology
Dominique Vuillaume
Dominique Vuillaume Centre national de la recherche scientifique, CNRS
Pierre Bessière
Pierre Bessière Collège de France
Yoshua Bengio
Yoshua Bengio University of Montreal
Abu Sebastian
Abu Sebastian IBM Research - Zurich
Bipin Rajendran
Bipin Rajendran King's College London
Wang Kang
Wang Kang Beihang University

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