Publications
Journal Articles
F. Jebali, A. Majumdar, C. Turck, K.-E. Harabi, M.-C. Faye, E. Muhr, J.-P. Walder, O. Bilousov, A. Michaud, E. Vianello, T. Hirtzlin, F. Andrieu, M. Bocquet, S. Collin, D. Querlioz, J.-M. Portal"Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell", Nature Communications 15, 741 (2024). Open access link
D. Bonnet, T. Hirtzlin, A. Majumdar, T. Dalgaty, E. Esmanhotto, V. Meli, N. Castellani, S.Martin, J.-F. Nodin, G. Bourgeois, J.-M. Portal, D. Querlioz, E. Vianello, "Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks", Nature Communications 14, 7530 (2023). Open access link
A. Ross, N. Leroux, A. De Riz, D. Marković, D. Sanz-Hernández, J. Trastoy, P. Bortolotti, D. Querlioz, L. Martins, L. Benetti, M. S. Claro, P. Anacleto, A. Schulman, T. Taris, J.-B. Begueret, S. Saïghi, A. S. Jenkins, R. Ferreira, A. F. Vincent, F. A. Mizrahi, J. Grollier, "Multilayer spintronic neural networks with radiofrequency connections", Nature Nanotechnology (2023). Link. Preprint
K.-E. Harabi, T. Hirtzlin, C. Turck, E. Vianello, R. Laurent, J. Droulez, P. Bessière, J.-M. Portal, M. Bocquet, D. Querlioz, "A memristor-based Bayesian machine", Nature Electronics, 6, 52 (2023). Link. Preprint.
E. Esmanhotto, T. Hirtzlin, D. Bonnet, N. Castellani, J.-M. Portal, D. Querlioz, E. Vianello, "Experimental Demonstration of Multilevel Resistive Random Access Memory Programming for up to Two Months Stable Neural Networks Inference Accuracy", Advanced Intelligent Systems, 2200145 (2022). Open access link
M. Drouhin, S. Li, M. Grelier, S. Collin, F. Godel, R. G. Elliman, B. Dlubak, J. Trastoy, D. Querlioz, J. Grollier, "Characterization and modeling of spiking and bursting in experimental NbO x neuron", Neuromorphic Computing and Engineering, 2(4), 044008 (2022). Open access link
N. Garg N, I. Balafrej, T. C. Stewart, J.-M. Portal, M. Bocquet, D. Querlioz, D. Drouin, J. Rouat, T. Beilliard, and F. Alibart, "Voltage-dependent synaptic plasticity: Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential", Front. Neurosci., 16:983950 (2022). Open access link
W. Al Misba, M. Lozano, D. Querlioz, J. Atulasimha, "Energy Efficient Learning with Low Resolution Stochastic Domain Wall Synapse for Deep Neural Networks", accepted, IEEE Access (2022). Open access link
R. Pachat, D. Ourdani, M. A. Syskaki, A. Lamperti, S. Roy, S. Chen, A. Di Pietro, L. Largeau, R. Juge, M. Massouras, C. Balan, J. W. van der Jagt, G. Agnus, Y. Roussigné, M. Gabor, S. M. Chérif, G. Durin, S. Ono, J. Langer, D. Querlioz, D. Ravelosona, M. Belmeguenai, "Magneto‐Ionics in Annealed W/CoFeB/HfO2 Thin Films", Advanced Materials Interfaces, 2200690 (2022). Open access link
A. Rizzo, D. Querlioz, L. Sang, W. T. G. Chen, C. Galasso, T. N. Do, L. Tian, "Inspiring engineers", Communications Engineering, 1(1), 1-4, 2022. Open access link
X. Chen, F. A. Araujo, M. Riou, J. Torrejon, D. Ravelosona, W. Kang, W. Zhao, J. Grollier, D. Querlioz, "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations", Nature Communications 13, 1016 (2022). Open access link
M. Romera, P. Talatchian, S. Tsunegi, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, V. Cros, P. Bortolotti, M. Ernoult, D. Querlioz, J. Grollier, "Binding events through the mutual synchronization of spintronic nano-neurons", Nature Communications 13, Article number: 883, 2022. Open access link
V. Parmar, B. Penkovsky, D. Querlioz, M. Suri, "Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing", Frontiers in Neuroscience, 15:781786, 2022. Open access link
A. Majumdar, M. Bocquet, T. Hirtzlin, A. Laborieux, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal, D. Querlioz, "Model of the Weak Reset Process in HfOx Resistive Memory for Deep Learning Frameworks", IEEE Transactions on Electron Devices, Vol. 68(10), 4925-4932, 2021. Link. Preprint.
A. Laborieux, M. Ernoult, T. Hirtzlin, D. Querlioz, "Synaptic metaplasticity in binarized neural networks", Nature Communications 12, Article number: 2549, 2021. Open access link.
T. Dalgaty, E. Esmanhotto, N. Castellani, D. Querlioz, E. Vianello, "Ex Situ Transfer of Bayesian Neural Networks to Resistive Memory‐Based Inference Hardware", Advanced Intelligent Systems, Vol. 3(8), 2000103, 2021. Open access link.
E. Martin, M. Ernoult, J. Laydevant, S. Li, D. Querlioz, T. Petrisor, and J. Grollier, "Eqspike: spike-driven equilibrium propagation for neuromorphic implementations", iScience, 24(3), 102222, 2021. Open access link.
N. Leroux, D. Marković, E. Martin, T. Petrisor, D. Querlioz, A. Mizrahi, and J. Grollier, "Radio-Frequency Multiply-And-Accumulate Operations with Spintronic Synapses", Physical Review Applied, 15(3), 034067, 2021. Link. Preprint.
D. Sanz‐Hernández, M. Massouras, N. Reyren, N. Rougemaille, V. Schánilec, K. Bouzehouane, M. Hehn, B. Canals, D. Querlioz, J. Grollier, F. Montaigne, and D. Lacour, "Tunable Stochasticity in an Artificial Spin Network", Advanced Materials, 2008135, 2021. Link. Preprint.
A. Laborieux, M. Ernoult, B. Scellier, Y. Bengio, J. Grollier, and D. Querlioz, "Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing Its Gradient Estimator Bias", Frontiers in Neuroscience, Vol. 15, p. 129, 2021. Open access link.
T. Dalgaty, N. Castellani, C. Turck, K.-E. Harabi, D. Querlioz, E. Vianello, "In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling", Nature Electronics, Vol. 4, p. 151, 2021. Link. Preprint.
A. Laborieux, M. Bocquet, T. Hirtzlin, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal, and D. Querlioz, "Implementation of Ternary Weights With Resistive RAM Using a Single Sense Operation per Synapse." IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 68, p. 138, 2021. Link. Preprint.
D. Marković, A. Mizrahi, D. Querlioz, J. Grollier, "Physics for neuromorphic computing", Nature Reviews Physics, Vol. 2, p. 499, 2020. Link. Preprint.
Q. Xia, K. Berggren,K. Likharev, D. Strukov, H. Jiang, T. Mikolajick, D. Querlioz, M. Salinga, J. Erickson, S. Pi, F. Xiong, P. Lin, C. Li, S. Xiong, B. Hoskins, M. Daniels, A. Madhavan, J. Liddle, J. McClelland, Y. Yang, J. Rupp, S. Nonnenmann, N. Gong, K.-T. Cheng, M. A. Lastras Montaño, A. Talin, A. Salleo, B. Shastri, T. Ferreira de Lima, A. Tait, Y. Shen, H. Meng, C. Roques-Carmes, Z. Cheng, H. Bhaskaran, D. Jariwala, H. Wang, K. Segall, J. Shainline, J. J. Yang, K. Roy, S. Datta, A. Raychowdhury, "Roadmap on emerging hardware and technology for machine learning", Nanotechnology, Vol. 32, 32012002 , 2020. Open access link.
J. Grollier, D. Querlioz, K. Y. Camsari, K. Everschor-Sitte, S. Fukami, M. D. Stiles, "Neuromorphic spintronics", Nature Electronics, Vol. 3, p 360, 2020. Link. Preprint.
T. Hirtzlin, M. Bocquet, B. Penkovskyi, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal and D. Querlioz, "Digital Biologically Plausible Implementation of Binarized Neural Networks with Differential Hafnium Oxide Resistive Memory Arrays", Frontiers in Neuroscience - Neuromorphic Engineering, Vol. 13, p. 1383, 2020. Open access link. Preprint.
P. Talatchian, M. Romera, F. A. Araujo, P. Bortolotti, V. Cros, D. Vodenicarevic, N. Locatelli, D. Querlioz, J. Grollier, "Designing Large Arrays of Interacting Spin-Torque Nano-Oscillators for Microwave Information Processing", Physical Review Applied, Vol. 13, p. 024073, 2020. Link. Preprint.
M. A. Azam, D. Bhattacharya, D. Querlioz, C. A. Ross and J. Atulasimha, "Voltage control of domain walls in magnetic nanowires for energy-efficient neuromorphic devices", Nanotechnology, Vol. 31, p. 145201, 2020. Link. Preprint.
F. A. Araujo, M. Riou, J. Torrejon, S. Tsunegi, D. Querlioz, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. D. Stiles, J. Grollier, "Role of non-linear data processing on speech recognition task in the framework of reservoir computing", Scientific Reports, Vol. 10, Article Number: 328, 2020. Open access link.
N. D. Truong, L. Kuhlmann, M. R. Bonyadi, D. Querlioz, L. Zhou, O. Kavehei, "Epileptic Seizure Forecasting with Generative Adversarial Networks", IEEE Access, Vol. 7, 143999, 2019. Open access link.
A. Siemon, R. Drabinski, M. J. Schultis, X. Hu, E. Linn, A. Heittmann, R. Waser, D. Querlioz, S. Menzel, J. S. Friedman, "Stateful Three-Input Logic with Memristive Switches", Scientific Reports, Vol. 9, Article number: 14618, 2019. Open access link.
M. Riou, J. Torrejon, B. Garitaine, F. Abreu Araujo, P. Bortolotti, V. Cros, S. Tsunegi, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, D. Querlioz, M. D. Stiles, J. Grollier, "Temporal Pattern Recognition with Delayed-Feedback Spin-Torque Nano-Oscillators", Physical Review Applied, Vol. 12 (2), 024049, 2019. Link. Preprint.
L. Herrera Diez, Y. T. Liu, D.A. Gilbert, M. Belmeguenai, J. Vogel, S. Pizzini, E. Martinez, A. Lamperti, J. B. Mohammedi, A. Laborieux, Y. Roussigné, A. J. Grutter, E. Arenholtz, P. Quarterman, B. Maranville, S. Ono, M. Salah E. l. Hadri, R. Tolley, E. E. Fullerton, L. Sanchez-Tejerina, A. Stashkevich, S. M. Chérif, A. D. Kent, D. Querlioz, J. Langer, B. Ocker, D. Ravelosona, "Nonvolatile Ionic Modification of the Dzyaloshinskii-Moriya Interaction", Physical Review Applied, Vol. 12 (3), 034005, 2019. Link.
T. Hirtzlin, B. Penkovsky, M. Bocquet, J.-O. Klein, J.-M. Portal and D. Querlioz, "Stochastic Computing for Hardware Implementation of Binarized Neural Networks", IEEE Access, 76394 , 2019. Open access link.
C. H. Bennett, V. Palmar, L. E. Calvet, J.-O. Klein, M. Suri, M. J. Marinella and D. Querlioz, "Contrasting advantages of learning with random weights and backpropagation in non-volatile memory neural networks," IEEE Access, 73938 , 2019. Open access link.
M. Ernoult, J. Grollier and D. Querlioz, "Using Memristors for Robust Local Learning of Hardware Restricted Boltzmann Machines", Scientific Reports, Vol. 9, Article number: 1851 (2019). Open access link.
D. Marković, N. Leroux, M. Riou, F. A. Araujo, J. Torrejon, D. Querlioz, A. Fukushima, S. Yuasa, J. Trastoy, P. Bortolotti and J. Grollier, "Reservoir computing with the frequency, phase and amplitude of spin-torque nano-oscillators", Applied Physics Letters, Vol. 114, 012409, 2019. Link. Preprint.
M. Romera, P. Talatchian, S. Tsunegi, F. A. Araujo, V. Cros, P. Bortolotti, J. Trastoy, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. Ernoult, D. Vodenicarevic, T. Hirtzlin, N. Locatelli, D. Querlioz and J. Grollier, "Vowel recognition with four coupled spin-torque nano-oscillators", Nature, Vol. 563, p. 230, 2018. Link. Preprint.
D. Ly, A. Grossi, C. Fenouillet-Beranger, E. Nowak, D. Querlioz and E. Vianello, "Role of synaptic variability in resistive memory-based spiking neural networks with unsupervised learning", Journal of Physics D: Applied Physics, Vol. 51, 444002, 2018. Link.
A. Mizrahi, J. Grollier, D. Querlioz, M. D. Stiles, "Overcoming device unreliability with continuous learning in a population coding based computing system", Journal of Applied Physics, Vol. 124, 152111, 2018. Link. Preprint.
M. A. Azam, D. Bhattacharya, D. Querlioz, J. Atulasimha, "Resonate and Fire Neuron with Fixed Magnetic Skyrmions", Journal of Applied Physics, Vol. 124, 152122, 2018. Link. Preprint.
D. Vodenicarevic, N. Locatelli, J. Grollier and D. Querlioz, "Nano-oscillator-based classification with a machine learning-compatible architecture" , Journal of Applied Physics, Vol. 124, 152117, 2018. Link. Preprint.
S. La Barbera, D. R. B. Ly, G. Navarro, N. Castellani, O. Cueto, G. Bourgeois, B. De Salvo, E. Nowak, D. Querlioz, E. Vianello, "Narrow Heater Bottom Electrode‐Based Phase Change Memory as a Bidirectional Artificial Synapse", Advanced Electronic Materials, Vol. 4, 1800223. , 2018. Link.
A. Mizrahi, T. Hirtzlin, A. Fukushima, H. Kubota, S. Yuasa, J. Grollier and D. Querlioz, "Neural-like computing with populations of superparamagnetic basis functions", Nature Communications, Vol. 9, Article number: 1533 (2018). Open access link. Press release
D. Pinna, F. Abreu Araujo, J. -V. Kim, V. Cros, D. Querlioz, P. Bessiere, J. Droulez, and J. Grollier, "Skyrmion gas manipulation for probabilistic computing", Physical Review Applied, Vol. 9, 064018, 2018. Link. Preprint
D. Vodenicarevic, N. Locatelli, A. Mizrahi, J. S. Friedman, A. F. Vincent, M. Romera, A. Fukushima, K. Yakushiji, H. Kubota, S. Yuasa, S. Tiwari, J. Grollier, and D. Querlioz, "Low-energy truly random number generation with superparamagnetic tunnel junctions for unconventional computing", Physical Review Applied, Vol. 8, 054045, 2017. Link. Preprint . Story in nanotechweb
J. Torrejon, M. Riou, F. Abreu Araujo, S. Tsunegi, G. Khalsa, D. Querlioz, P. Bortolotti, V. Cros, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. D. Stiles and J. Grollier, "Neuromorphic computing with nanoscale spintronic oscillators", Nature, Vol. 547, p. 428, 2017. Link. Preprint. News & views. Story in IEEE Spectrum
J. S. Friedman, J. Droulez , P. Bessière , J. Lobo, and D. Querlioz, "Approximation Enhancement for Stochastic Bayesian Inference", International Journal of Approximate Reasoning, Vol. 85, p. 139, 2017. Link. Preprint.
D. Vodenicarevic, N. Locatelli, F. Abreu Araujo, J. Grollier, and D. Querlioz, "A Nanotechnology-Ready Computing Scheme based on a Weakly Coupled Oscillator Network", Scientific Reports 7, Article number: 44772, 2017. Open access link
S. La Barbera , A. F. Vincent , D. Vuillaume , D. Querlioz, F. Alibart, "Interplay of multiple synaptic plasticity features in filamentary memristive devices for neuromorphic computing", Scientific Reports 6, Article number: 39216 (2016), 2016. Open access link
A. Accioly, N. Locatelli, A. Mizrahi, D. Querlioz, L. Gustavo Pereira, J. Grollier, and J.-V. Kim, "Role of spin-transfer torques on synchronization and resonance phenomena in stochastic magnetic oscillators" , Journal of Applied Physics, vol. 120, p. 093902, 2016. Link. Preprint.
J. Grollier, D. Querlioz, M. D. Stiles, "Spintronic nano-devices for bio-inspired computing", Proceedings of the IEEE, Vol. 104, No. 10, p. 2024, invited paper, 2016. Open access link
Y.-P. Lin, C. H. Bennett, T. Cabaret, D. Vodenicarevic, D. Chabi, D. Querlioz, B. Jousselme, V. Derycke, and J.-O. Klein, "Physical Realization of a Supervised Learning System Built with Organic Memristive Synapses", Scientific Reports, Vol. 6, article number 31932, 2016. Open access link
A. Mizrahi , N. Locatelli, J. Grollier, D. Querlioz, "Synchronization of electrically coupled stochastic magnetic oscillators induced by thermal and electrical noise", Physical Review B, Vol. 94, No. 5, p. 054419, 2016. Link. Preprint.
A. Mizrahi , N. Locatelli , R. Lebrun , V. Cros , A. Fukushima , H. Kubota , S. Yuasa , D. Querlioz, J. Grollier, "Controlling the phase locking of stochastic magnetic bits for ultra-low power computation", Scientific Reports, Vol. 6, article number 30535, 2016. Open access link
J. S. Friedman, L. E. Calvet, P. Bessière, J. Droulez, D. Querlioz, "Bayesian Inference with Muller C-Elements", IEEE Transactions on Circuits and Systems I, Vol. 63, No. 6, p. 895, 2016. Link. Preprint.
D. Querlioz, O. Bichler, A. F. Vincent, C. Gamrat, "Bioinspired Programming of Memory Devices for Implementing an Inference Engine", Proceedings of the IEEE, Vol. 103, No. 8, p. 1398, 2015 (invited paper). Link. Preprint.
J. S. Friedman, E. R. Fadel, B. W. Wessels, D. Querlioz, A. V. Sahakian, Bilayer Avalanche Spin-Diode Logic,AIP Advances 5:11, 117102 (2015). Open access link.
A. Mizrahi, N. Locatelli, R. Matsumoto, A. Fukushima, H. Kubota, S. Yuasa, V. Cros, J.-V. Kim, J. Grollier, D. Querlioz, "Magnetic stochastic oscillators: Noise-induced synchronization to under-threshold excitation and comprehensive compact model", IEEE Transactions on Magnetics, Vol. 51, No. 8, p.1401404, 2015 . Link. Preprint.
A. F. Vincent, J. Larroque, N. Locatelli, N. Ben Romdhane, O. Bichler, C. Gamrat, W. S. Zhao, J.-O. Klein, S. Galdin-Retailleau, D. Querlioz, “Spin-Transfer Torque Magnetic Memory as a Stochastic Memristive Synapse for Neuromorphic Systems”, IEEE Trans. Biomedical Circuits and Systems, Vol. 9, No. 2, p. 166, 2015. Link. Preprint. Story in nanotechweb.
A. F. Vincent, N. Locatelli, J.-O. Klein, W.S. Zhao, S. Galdin-Retailleau and D. Querlioz, "Analytical Macrospin Modeling of the Stochastic Switching Time of Spin Transfer-Torque Devices", IEEE Trans. Electron Dev., Vol. 62, No. 1, p. 164, 2015. Link.
S. Saighi, C. G Mayr, T. Serrano-Gotarredona, H. Schmidt, G. Lecerf, J. Tomas, J. Grollier, S. Boyn, A. Vincent, D. Querlioz, S. La Barbera, F. Alibart, D. Vuillaume, O. Bichler, C. Gamrat and B. Linares-Barranco, "Plasticity in memristive devices for Spiking Neural Networks", Front. Neurosci. - Neuromorphic Engineering, 9:51, 2015.Open access article
L. Su, W.S. Zhao, Y. Zhang, D. Querlioz, Y. Zhang, J.-O. Klein, P. Dollfus and A. Bournel, "Proposal for a graphene-based all-spin logic gate", Applied Physics Letters, 106, 072407, 2015. Link. Preprint.
S. Senova, D. Querlioz, C. Thiriez, P. Jedynak, B. Jarraya and S. Palfi, "Using the Accelerometers Integrated in Smartphones to Evaluate Essential Tremor", Stereotact Funct Neurosurg, Vol. 93, No. 2, p. 94, 2015. Link.
D. Chabi, W. S. Zhao, D. Querlioz and J.-O. Klein "On-Chip Universal Supervised Learning Methods for Neuro-Inspired Block of Memristive Nanodevices ", ACM Journal of Emerging Technologies, Vol. 11, No. 4, Article No. 34, 2015. Link.
N. Locatelli, A. Mizrahi, A. Accioly, R. Matsumoto, A. Fukushima, H. Kubota, S. Yuasa, V. Cros, L. G. Pereira, D. Querlioz, J.-V. Kim and J. Grollier, "Noise-enhanced synchronization of stochastic magnetic oscillators", Physical Review Applied, Vol. 2, 034009, 2014. Link. Preprint.
W. Zhao, M. Moreau, E. Deng, Y. Zhang, J.-M. Portal, J.-O. Klein, M. Bocquet, H. Aziza, D. Deleruyelle, C. Muller, D. Querlioz, N. Ben Romdhane, C. Chappert, D. Ravelosona "Synchronous Non-Volatile Logic Gate Design based on Resistive Switching Memories” , IEEE Transactions on Circuits and Systems I, vol 61, p. 443 (2014). Link.
V.-H. Nguyen , A. Alarcon, S. Berrada, V.-N. Do, J. Saint-Martin, D. Querlioz, A. Bournel, P. Dollfus, "On the non-linear effects in graphene devices", Journal of physics. D. Applied physics, vol. 47, p. 094007 2014. Link. Preprint.
W. Zhao, J.M Portal, W. Kang, M. Moreau, Y. Zhang, H. Aziza, J-O Klein, Z. Wang, D. Querlioz, D. Deleruyelle, M. Bocquet, D. Ravelosona, C. Muller, C. Chappert, "Design and analysis of Crossbar Architecture based on Complementary Resistive Switching non-volatile Memory Cells" , Journal of Parallel and Distributed Computing,Volume 74, Issue 6, p. 2484, 2014. Link.
D. Chabi, D. Querlioz, W. S. Zhao, J.-O. Klein, "Robust Learning Approach for Neuro-Inspired Nanoscale Crossbar Architecture", ACM Journal of Emerging Technologies in Computing Systems, vol. 10, Num.1, article No 5 (2014). Link.
S. Berrada, V. H. Nguyen, D. Querlioz, J. Saint-Martin, A. Alarcón, C. Chassat, A. Bournel and P. Dollfus, “Graphene nanomesh transistor with high on/off ratio and good saturation behavior”, Appl Phys Lett 103, 183509, 2013. Link.
M. Shi, J. Saint-Martin, A. Bournel, D. Querlioz, N. Wichmann, S. Bollaert, F. Danneville, P. Dollfus, "Monte Carlo analysis of the dynamic behavior of III-V MOSFETs for low-noise RF applications", Solid state electronics, vol. 87, num. 9, p. 51, 2013. Link. Preprint.
M. Shi, J. Saint-Martin, A. Bournel, D. Querlioz, P. Dollfus, J. Mo, N. Wichmann, L. Desplanque, X. Wallart, F. Danneville, S. Bollaert, "Numerical and experimental assessment of charge control in III-V nano-Metal-Oxide-Semiconductor Field-Effect-Transistor under low supply voltage", Journal of Nanoscience and Nanotechnology, vol. 13, p. 771, 5 pages, 2013. Link. Preprint.
P. Schwaha, D. Querlioz, P. Dollfus, J. Saint-Martin, M. Nedjalkov, S. Selberherr, "Decoherence effects in the Wigner function formalism", Journal of Computational Electronics, vol. 12, num. 3, p. 388, 2013. Link. Preprint.
C. Maneux, S. Fregonese, M. Najari, T. Zimmer, S. Retailleau, H.-N. Nguyen, D. Querlioz, A. Bournel, P. Dollfus, F. Triozon, Y.-M. Niquet, S. Roche,"Multiscale simulation of carbon nanotube transistors", Solid state electronics, vol. 89, p. 26, 2013. Link. Preprint.
M. Suri, D. Querlioz, O. Bichler, G. Palma, E. Vianello, D. Vuillaume, C. Gamrat, and B. DeSalvo, "Bio-Inspired Stochastic Computing Using Binary CBRAM Synapses", IEEE Transactions on Electron Devices, vol. 60, num. 7, p. 2402 (2013). Link. Preprint.
D. Querlioz, O. Bichler, P. Dollfus and C. Gamrat, "Immunity to Device Variations in a Spiking Neural Network with Memristive Nanodevices," IEEE Transactions on Nanotechnology, vol. 12, num. 3, p. 288 (2013). Link. Preprint.
A. Alarcon, V. H. Nguyen, S. Berrada, D. Querlioz, J. Saint-Martin, A. Bournel and P. Dollfus, "Pseudo-Saturation and Negative Differential Conductance in Graphene Field-Effect Transistors," IEEE Transactions on Electron Devices, Vol. 60, p. 985 (2013). Link. Preprint.
V. H. Nguyen, J. Saint-Martin, D. Querlioz, F. Mazzamuto, A. Bournel, Y.-M. Niquet, and P. Dollfus, "Bandgap nanoengineering of graphene tunnel diodes and tunnel transistors to control the negative differential resistance", Journal of Computational Electronics, vol. 12, p. 85 (2013). Link. Preprint.
M. Nedjalkov, S. Selberherr, D. K. Ferry, D. Vasileska, P. Dollfus, D. Querlioz, I. Dimov, P. Schwaha, "Physical scales in the Wigner-Boltzmann equation", Annals of Physics, vol. 328, p. 220 (2013). Link. Preprint.
M. Suri, O. Bichler, D. Querlioz, B. Traoré, O. Cueto, L. Perniola, V. Sousa, D. Vuillaume, C. Gamrat and B. DeSalvo, "Physical Aspects of Low Power Synapses based on Phase Change Memory Devices", Journal of Applied Physics, vol 112, 054904 (2012). Link.
O. Bichler, M. Suri, D. Querlioz, D. Vuillaume, B. DeSalvo, C. Gamrat, "Visual Pattern Extraction Using Energy-Efficient “2-PCM Synapse” Neuromorphic Architecture", IEEE Transactions on Electron Devices, vol. 59, no. 8, p 2206 (2012). Link.
V. Talbo, D. Querlioz, S. Retailleau, P. Dollfus, "Sub- and super-Poissonian noise in Si quantum dots using fully self-consistent 3D simulation", Fluctuation and Noise Letters, vol. 11, num. 3, p. 1242006, (2012). Link.
O. Bichler, D. Querlioz, S. J. Thorpe, J.-P. Bourgoin, C. Gamrat, "Extraction of temporally correlated features from dynamic vision sensors with spike-timing-dependent plasticity", Neural Networks, vol. 32, p. 339 (2012). Link. Preprint.
H.-N. Nguyen, D. Querlioz, S. Galdin-Retailleau, P. Dollfus, "Semi-classical and quantum transport in CNTFETs using Monte Carlo simulation", IEEE Transactions on Electron Devices, vol. 58, num. 3, p. 798, (2011). Link. Preprint.
D. Querlioz, J. Saint-Martin, P. Dollfus, "Implementation of the Wigner-Boltzmann transport equation within particle Monte Carlo simulation",Journal of Computational Electronics, vol. 9, p. 224, (2010). Link. Preprint.
D. Querlioz, H.-N. Nguyen, J. Saint-Martin, A. Bournel, S. Galdin-Retailleau, P. Dollfus, "Wigner-Boltzmann Monte Carlo approach to nanodevice simulation: from quantum to semiclassical transport", invited, Journal of Computational Electronics, Vol. 8, p. 324-335 (2009). Link.
C. Adessi C., R. Avriller, X. Blase, A. Bournel, H. Cazin d'Honincthun, P. Dollfus, S. Frégonèse, S. Galdin-Retailleau, A. Lopez-Bezanilla, C. Maneux, H.-N. Nguyen, D. Querlioz, S. Roche, F. Triozon, T. Zimmer, "Multiscale simulation of carbon nanotube devices", invited, Comptes Rendus de l'Académie des Sciences. Physique, 10, p. 305-319 (2009). Link. Preprint.
D. Querlioz, J. Saint-Martin, A. Bournel, P. Dollfus, “Wigner Monte Carlo simulation of phonon-induced electron decoherence in semiconductor nanodevices”, Physical Review B, Vol. 78, Num. 16, 165306 (2008). Link. Preprint.
K. Huet, D. Querlioz, W. Chaisantikulwat, J. Saint-Martin, A. Bournel, M. Mouis, and P. Dollfus, “Monte Carlo Study of Apparent Magnetoresistance Mobility in Nanometer-Scale MOSFETs”, Journal of Applied Physics, Vol. 104, Num. 4, p. 044504 (2008). Link.
D. Querlioz, Y. Apertet, A. Valentin, K. Huet, A. Bournel, S. Galdin-Retailleau and P. Dollfus, “Suppression of the Orientation Effects on Bandgap in Graphene Nano-Ribbons in the presence of Edge Disorder”, Applied Physics Letters, 92, 042108 (2008). Link. Preprint.
D. Querlioz, J. Saint-Martin, K. Huet, A. Bournel, V. Aubry-Fortuna, C. Chassat, S. Galdin-Retailleau and P. Dollfus, "On the ability of the particle Monte Carlo technique to include quantum effects in nano-MOSFET simulation," IEEE Transactions on Electron Devices, Vol. 54, Num. 9, p. 2232 (2007). Link. Preprint.
D. Querlioz, J. Saint-Martin, V.-N. Do, A. Bournel and P. Dollfus, "A study of quantum transport in end-of-roadmap DG-MOSFETs using a fully self-consistent Wigner Monte Carlo approach," IEEE Transactions on Nanotechnology, Vol. 5, Num. 6, p. 737 (2006). Link. Preprint.
D. Querlioz, P. Dollfus, V.-N. Do, A. Bournel, V.-L. Nguyen, “An improved Wigner Monte-Carlo technique for the self-consistent simulation of RTDs”, Journal of Computational Electronics 5 (4), 443 (2006). Link.
D. Querlioz, E. Helgren, D. R. Queen, F. Hellman, R. Islam and D. J. Smith, “Beneficial effects of annealing on amorphous Nb-Si thin film thermometers,” Applied Physics Letters 87, 221901 (2005). Link. Preprint
Proceedings of International Conferences
S. D'Agostino, F. Moro, T. Hirtzlin, J. Arcamone, N. Castellani, D. Querlioz, M. Payvand, E. Vianello, "Synaptic metaplasticity with multi-level memristive devices", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. Link. Preprint.
A. Renaudineau, K. E. Harabi, C. Turck, A. Laborieux, E. Vianello, M. Bocquet, J.-M. Portal, D. Querlioz, "Experimental Demonstration of Memristor Delay-Based Logic In-Memory Ternary Neural Network", 2023 Silicon Nanoelectronics Workshop (SNW) (pp. 43-44)., 2023. Link. Preprint
C. Turck, K. E. Harabi, T. Hirtzlin, E. Vianello, R. Laurent, J. Droulez, P. Bessiere, M. Bocquet, J.-M. Portal, D. Querlioz, "Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors", Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023. Link. Preprint.
M. Ezzadeen, A. Majumdar, S. Thomas, J. P. Noël, B. Giraud, M. Bocquet, M., F. Andrieu, D. Querlioz, J. M. Portal, "Binary ReRAM-based BNN first-layer implementation", Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023 . Link. Preprint.
K.-E. Harabi , C. Turck , M. Drouhin , A. Renaudineau , T. Bersani-Veroni , D. Querlioz , T. Hirtzlin , E. Vianello , M Bocquet , J.-M. Portal, "A Multimode Hybrid Memristor-CMOS Prototyping Platform Supporting Digital and Analog Projects", 28th Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 184-185, 2023. Link. Preprint.
F. Jebali, E. Muhr , M. Alayan , M.C. Faye , D. Querlioz, F. Andrieu, E. Vianello, G. Molas, M. Bocquet, J.M. Portal, "Embedded measurement of the SET switching time of RRAM memory cells", International Conference on Microelectronic Test Structures (ICMTS), 2022. Best paper award. Link.
E. Esmanhotto, T. Hirtzlin, N. Castellani, S. Martin, B. Giraud, B., F. Andrieu, J. F. Nodin, D. Querlioz, J-M. Portal, E. Vianello. "Experimental demonstration of Single-Level and Multi-Level-Cell RRAM-based In-Memory Computing with up to 16 parallel operations". In IEEE International Reliability Physics Symposium (IRPS), p. P8-1, 2022. Preprint. Link.
J. Laydevant, M. Ernoult, D. Querlioz, J. Grollier, "Training Dynamical Binary Neural Networks With Equilibrium Propagation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4640-4649, 2021. Open access link.
M. Ezzadeen, A. Majumdar, M. Bocquet, B. Giraud, J.-P. Noël, F. Andrieu, D. Querlioz, J.-M. Portal, "Low-Overhead Implementation of Binarized Neural Networks Employing Robust 2T2R Resistive RAM Bridges", IEEE European Solid State Circuits Conference (ESSCIRC), pp. 83-86, 2021. Link
T. Dalgaty, E. Vianello and D. Querlioz, "Harnessing intrinsic memristor randomness with Bayesian neural networks," 2021 International Conference on IC Design and Technology (ICICDT), 2021, Link.
D. Sanz-Hernandez, M. Massouras, N. Reyren, N. Rougemaille, V. Schánilec, K. Bouzehouane, M. Hehn, B. Canals, D. Querlioz, J. Grollier, F. Montaigne, D. Lacour, "Tuneable stochastic domain-wall trajectories in a nanoscale magnetic Galton board". In Spintronics XIV (Vol. 11805, p. 118051H). International Society for Optics and Photonics, 2021. Link.
F. Jebali, A. Majumdar, A. Laborieux, T. Hirtzlin, E. Vianello, J.-P. Walder, M. Bocquet, D. Querlioz, J.-M. Portal, "CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks", 64th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 158-161, 2021. Link
G. Hocquet, O. Bichler, and D. Querlioz, "Memory Efficient Invertible Neural Networks for Class-Incremental Learning", IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021. Link.
E. Esmanhotto, L. Brunet, N. Castellani, D. Bonnet, T. Dalgaty, L. Grenouillet, D. R. B. Ly, C. Cagli, C. Vizioz, N. Allouti, F. Laulagnet, O. Gully, N. Bernard-Henriques , M. Bocquet, G. Molas , P. Vivet , D. Querlioz, JM. Portal, S. Mitra, F. Andrieu, C. Fenouillet-Beranger, E. Nowak, E. Vianello, "High-density 3D monolithically integrated multiple 1T1R Multi-Level-Cell for neural networks", IEEE International Electron Devices Meeting (IEDM), 36.5. 1-36.5. 4, 2020. Link. Preprint.
G. Hocquet, O. Bichler, and D. Querlioz, "Ova-inn: Continual learning with invertible neural networks", 2020 International Joint Conference on Neural Networks (IJCNN), Link. Preprint.
A. Laborieux, M. Bocquet, T. Hirtzlin, J.-O. Klein, L. Herrera-DIez, E. Nowak, E. Vianello, J.-M. Portal and D. Querlioz, "Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based Synapse", IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020. Link. Preprint.
M. Bocquet, T. Hirtzlin, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal and D. Querlioz, "Embracing the Unreliability of Memory Devices for Neuromorphic Computing ", International Reliability Physics Symposium (IRPS), 2020. Link. Preprint.
B. Penkovsky, M. Bocquet, T. Hirtzlin, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal and D. Querlioz, "In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications", Design, Automation and Test in Europe Conference (DATE), 2020. (Invited) Link. Preprint.
T. Hirtzlin, M. Bocquet, M. Ernoult, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal, D. Querlioz, "Hybrid Analog-Digital Learning with Differential RRAM Synapses", IEEE International Electron Devices Meeting (IEDM), p. 22.6.1, 2019. (Invited) Link. Preprint.
M. Ernoult, J. Grollier, D. Querlioz, Y. Bengio and B. Scellier, "Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input", Conference on Neural Information Processing Systems (NeurIPS), 2019. Link. Preprint.
D. Querlioz, T. Hirtzlin, J.-O. Klein, E. Nowak, E. Vianello, M. Bocquet, J.-M. Portal, M.Romera, P. Talatchian and J. Grollier, "Memory-Centric Neuromorphic Computing With Nanodevices", IEEE Biomedical Circuits and systems Conference (BIOCAS), 2019. Preprint. Link.
T. Hirtzlin, B. Penkovsky, J.-O. Klein, N. Locatelli, A. F. Vincent, M. Bocquet, J.-M. Portal and D. Querlioz, "Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction", IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), accepted, 2019. Link. Preprint.
T. Hirtzlin, M. Bocquet, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal, D. Querlioz, "Outstanding Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks", IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), p 288, 2019. Link. Preprint.
M. Bocquet, T. Hirztlin, J.-O. Klein, E. Nowak, E. Vianello, J.-M. Portal and D. Querlioz, "In-Memory and Error-Immune Differential RRAM Implementation of Binarized Deep Neural Networks", IEEE International Electron Devices Meeting (IEDM), p. 20.6.1, 2018. Link. Preprint.
P. Talatchian, M. Romera, S. Tsunegi, F. Abreu Araujo, V. Cros, P. Bortolotti, J. Trastoy, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. Ernoult, D. Vodenicarevic, T. Hirtzlin, N. Locatelli, D. Querlioz, J. Grollier, "Microwave Neural Processing and Broadcasting with Spintronic Nano-Oscillators", IEEE International Electron Devices Meeting (IEDM), invited, p. 27.4.1, 2018. Link.
N. Locatelli, A. F. Vincent, D. Querlioz, "Use of Magnetoresistive Random-Access Memory As Approximate Memory for Training Neural Networks", Proc. ICECS, p. 553 , 2018. Link. Preprint.
E. Vianello, D. R. B. Ly, S. La Barbera, T. Dalgaty, N. Castellani, G. Navarro, G. Bourgeois, E. Nowak, D. Querlioz, "Metal Oxide Resistive Memory (OxRAM) and Phase Change Memory (PCM) As Artificial Synapses in Spiking Neural Networks", Proc. ICECS, accepted, 2018.
D. Vodenicarevic, N. Locatelli, A. Mizrahi, T. Hirtzlin, J. Friedman, J. Grollier, D. Querlioz, "Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions", Proc. ISCAS, 2018. Link. Preprint.
S. Tiwari and D. Querlioz, "On the Physical Underpinnings of the Unusual Effectiveness of Probabilistic and Neural Computation", Proc. IEEE International Conference on Rebooting Computing (ICRC), invited, 2017. Link. Preprint.
M. Riou, F. Abreu Araujo, J. Torrejon, S. Tsunegi, G. Khalsa, D. Querlioz, P. Bortolotti, V. Cros, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. D. Stiles, and J. Grollier, "Neuromorphic Computing through Time-Multiplexing with a Spin-Torque Nano-Oscillator" (invited), IEEE International Electron Devices Meeting (IEDM), p. 36.3.1, 2017. Link. Preprint.
D. Vodenicarevic, A. Mizrahi, N. Locatelli, J. Grollier and D. Querlioz, "Spintronic Nanoscillators for Unconventional Circuits" (invited), Proc. ECCTD, 2017. Link. Preprint.
D. Vodenicarevic, N. Locatelli, D. Querlioz, "A Neural Network Based on Synchronized Pairs of Nano-Oscillators", Proc. IEEE Nano, p. 512, 2017. Link. Preprint.
C.H. Bennett, D. Querlioz and J.-O. Klein, "Spatio-temporal learning with arrays of analog nanosynapses", Proc. of IEEE/ACM Nanoarch, p. 125, 2017. Link. Preprint.
A. F. Vincent, N. Locatelli, Q. Wu, D. Querlioz, "Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems" (invited), ACM Great Lakes Symposium on VLSI (GLSVLSI), p. 317, Banff, Alberta, Canada, 2017. Link.
L. Calvet, J. S. Friedman, D. Querlioz, P. Bessière and J. Droulez, "Sleep Stage Classification with Stochastic Bayesian Inference", Proc. of IEEE/ACM Nanoarch, p. 117, 2016. Link. Preprint.
D. Vodenicarevic, N. Locatelli, J. Grollier, D. Querlioz, "Synchronization Detection in Networks of Coupled Oscillators for Pattern Recognition", International Joint Conference on Neural Networks (IJCNN), p. 2015, 2016. Link. Preprint.
C. H. Bennett, S. La Barbera, A. F. Vincent, J.-O. Klein, F. Alibart, D. Querlioz, "Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures", International Joint Conference on Neural Networks (IJCNN), p. 947, 2016. Link. Preprint.
N. Locatelli, A. F. Vincent, S. Galdin-Retailleau, J.-O. Klein, D. Querlioz, "Approximate programming of magnetic memory elements for energy saving", Proc. International Conference on Memristive Systems (MEMRISYS), 2015. Link. Preprint.
S. La Barbera, A. F. Vincent, D. Vuillaume, D. Querlioz, F. Alibart, "Short-term to long-term plasticity transition in filamentary switching for memory applications", Proc. International Conference on Memristive Systems (MEMRISYS), 2015. Link.
D. Querlioz, A. F. Vincent, A. Mizrahi, N. Locatelli, J. S. Friedman, D. Vodenicarevic, "Computational Techniques for the Design of Bioinspired Systems that Employ Nanodevices", Proc. International Workshop on Computational Electronics, invited, 2015. Link.
C. H. Bennett, D. Chabi, T. Cabaret, V. Derycke, D. Querlioz and J.-O. Klein, "Supervised Learning with Organic Memristor Devices and Prospects for Neural Crossbar Array", Proc. of IEEE/ACM NanoArch, p. 181, 2015. Link. Preprint.
J. S. Friedman, D. Querlioz and Alan V. Sahakian, "Magnetoresistance Implications for Complementary Magnetic Tunnel Junction Logic (CMAT)", Proc. of IEEE/ACM NanoArch, p. 143, 2015. Link. Preprint.
N. Locatelli, D. Vodenicarevic, W. S. Zhao, J.-O. Klein, J. Grollier, D. Querlioz, "Vortex-Based Spin Transfer Oscillator Compact Model for IC Design", Proceedings of ISCAS, p. 589, 2015. Link. Preprint.
N. Locatelli, A. F. Vincent, A. Mizrahi, J. S. Friedman, D. Vodenicarevic, J.-V. Kim, J.-O. Klein, W. S. Zhao, J. Grollier and D. Querlioz, “Spintronic devices as key-elements for energy-efficient neuro-inspired architectures”, Proceedings of DATE, p. 994, 2015 (invited "Hot Topic" session). Link. Preprint.
A. F. Vincent, J. Larroque, W. S. Zhao, N. Ben Romdhane, O. Bichler, C. Gamrat, J.-O. Klein, S. Galdin-Retailleau, D. Querlioz, "Spin-Transfer Torque Magnetic Memory As a Stochastic Memristive Synapse", Procs. of ISCAS, p. 1074, 2014 (invited special session). Link.
J. S. Friedman, B. W. Wessels, D. Querlioz, A. V. Sahakian, "High-Performance Computing based on Spin-Diode Logic", Proc. SPIE Spintronics VII, Aug. 2014 (invited). Link. Preprint.
A. F. Vincent, W.S. Zhao, J.-O. Klein, S. Galdin-Retailleau and D. Querlioz, "Monte-Carlo Simulations of Magnetic Tunnel Junctions : from Physics to Application", Procs. of IWCE, 2014. Link.
M. Diez-Garcia, A. F. Vincent, N. Izard, D. Querlioz, "Monte Carlo Simulations of Carbon Nanotube Networks for Optoelectronic Applications", Procs. of ACM/IEEE Nanoarch, p. 135, 2014. Link.
N. Locatelli, A. Mizrahi, A. Accioly, D. Querlioz, J.-V. Kim, V. Cros, and J. Grollier, "Spin torque nanodevices for bio-inspired computing", Procs. of Cellular Nanoscale Networks and their Applications (CNNA), 2014. Link. Preprint
Y. Zhang, W. S. Zhao, J.-O. Klein, W. Kang, D. Querlioz, Y. Zhang, D. Ravelosona and C. Chappert, "Spintronics for low power computing", Procs. of DATE, p. 303:1, 2014. (invited paper). Link. Preprint.
W. Zhao, J.-O. Klein, Z. Wang, Y. Zhang, N. Ben Romdhane, D. Querlioz, D. Ravelosona and C. Chappert, "Spin-electronics Based Logic Fabrics", Procs. Of IEEE VLSI-SOC, p. 174, 2013. Link.
O. Bichler, D. Querlioz, D. Roclin and C. Gamrat, "Design Exploration Methodology for Memristor-Based Spiking Neuromorphic Architectures with the Xnet Event-Driven Simulator", Procs. of ACM/IEEE Nanoarch, p. 7, 2013. Link. Preprint.
M. Suri, D. Garbin, O. Bichler, D. Querlioz, D. Vuillaume, C. Gamrat and B. Desalvo, "Impact of PCM Resistance-Drift in Neuromorphic Systems and Drift-Mitigation Strategy", Procs. of ACM/IEEE Nanoarch, p. 140, 2013. Link. Preprint.
G. Palma, M. Suri, D. Querlioz, E. Vianello and B. De Salvo, "Stochastic Neuron Design using Conductive Bridge RAM", Procs. of ACM/IEEE Nanoarch, p. 95, 2013. Link. Preprint.
J.-M. Portal, M. Moreau, Y. Zhang, E. Deng, J.-O. Klein, D. Querlioz, D. Ravelosona, C. Chappert, M. Bocquet, H. Aziza, D. Deleruyelle, C. Muller, Weisheng Zhao, "Analytical Study of Complementary Memristive Synchronous Logic Gates", Procs. of ACM/IEEE Nanoarch, p. 70, 2013. Link. Preprint.
Y. Zhang, E. Deng, J.-O. Klein, D. Querlioz, D. Ravelosona, C. Chappert, M. Moreau, J.-M. Portal, M. Bocquet, H. Aziza, D. Deleruyelle, C. Muller, W. Zhao, "Synchronous Full-Adder Based on Complementary Resistive Switching Memory Cells", Procs of IEEE NEWCAS, p. 1, 2013. Link.
D. Querlioz, V. Trauchessec, "Stochastic Resonance in an Analog Current-Mode Neuromorphic Circuit", Procs. of IEEE ISCAS, p. 1596 , 2013. Link. Preprint.
M. Suri, O. Bichler, D. Querlioz, G. Palma, E. Vianello, D. Vuillaume, C. Gamrat, B. DeSalvo, "CBRAM Devices as Binary Synapses for Low-Power Stochastic Neuromorphic Systems: Auditory (Cochlea) and Visual (Retina) Cognitive Processing Applications", IEEE International Electron Devices Meeting (IEDM), p. 10.3.1, 2012. Link.
D. Querlioz, W. Zhao, P. Dollfus, J-O Klein, O. Bichler, C. Gamrat "Bioinspired Networks with Nanoscale Memristive Devices that combine the unsupervised and supervised learning approaches " , Procs. of ACM/IEEE Nanoarch, p. 203, 2012, Amsterdam, The Netherlands, 2012. Link. Preprint.
W. Zhao, Y. Zhang, J-O Klein, D. Querlioz, D. Chabi, D. Ravelosona, C. Chappert, J.M Portal, M. Bocquet, H. Aziza, D. Deleruyelle, C. Muller, "Crossbar Architecture based on 2R Complementary Resistive Switching Memory Cell ", Procs. of ACM/IEEE Nanoarch, p. 85, 2012, Amsterdam, The Netherlands, 2012. Link. Preprint.
Weisheng Zhao, Damien Querlioz, Djaafar Chabi, Jacques-Olivier Klein and Claude Chappert, "Nanodevice-Based Novel Computing Paradigms and the Neuromorphic Approach", Procs. of IEEE ISCAS 2012, Seoul, Korea, p. 2509. Link. Preprint.
V. Talbo, J. Saint-Martin, Y. Apertet, D. Querlioz, S. Retailleau, P. Dollfus, "Numerical investigation on the thermoelectric properties of a Si-based Single-electron Transistor (SET)", Procs of 31st International & 10th European Conference on Thermoelectrics, Aalborg, Danemark, 2012.
V. Talbo, S. Galdin-Retailleau, D. Querlioz, P. Dollfus, "Shot noise behavior in single-electron quantum dot-based structures", Procs of IEEE Proceedings of International Workshop on Computational Electronics, 2012. Link. Preprint.
M. Nedjalkov, P. Schwaha, S. Selberherr, D.K. Ferry, D. Vasileska, P. Dollfus, D. Querlioz, "Role of the Physical Scales on the Transport Regime", Procs of International Workshop on Computational Electronics (IWCE), proceedings of IWCE, 2012. Link. Preprint.
M. Shi, J. Saint-Martin, A. Bournel, D. Querlioz, P. Dollfus, "Assessment of III-V MOSFET architectures for low power applications using static and dynamic numerical simulation", Procs of IEEE International SOI Conference, Tempe, p. 1, 2011. Link.
D. Querlioz, O. Bichler, C. Gamrat, "Simulation of a Memristor-Based Spiking Neural Network Immune to Device Variations", International Joint Conference on Neural Networks (IJCNN), San Jose, p. 1775, 2011. Link. Preprint.
O. Bichler, D. Querlioz, J.-P. Bourgoin, C. Gamrat, S.-J. Thorpe, "Unsupervised Features Extraction from Asynchronous Silicon Retina through Spike-Timing-Dependent Plasticity", International Joint Conference on Neural Networks (IJCNN), San Jose, du 31 juillet 2011 au 05 août 2011, p. 2161. Link. Preprint.
O. Bichler, D. Querlioz, J.-P. Bourgoin, C. Gamrat, S.-J. Thorpe, "Unsupervised learning of complex features from an asynchronously spiking retina using Spike-Timing Dependent Plasticity", European Conference on Visual Perception (ECVP), p. 205. Link
M. Suri, O. Bichler, D. Querlioz, O. Cueto, L. Perniola, V. Sousa, D. Vuillaume, C. Gamrat, B. DeSalvo, "Phase Change Memory as Synapse for Ultra-Dense Neuromorphic Systems: Application to Complex Visual Pattern Extraction", IEEE International Electron Devices Meeting (IEDM), p. 4.4.1, 2011. Link.
D. Querlioz, P. Dollfus, O. Bichler, C. Gamrat, "Learning with memristive devices: how should we model their behavior?",7th IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH ’11), San Diego, USA, du 08 juin 2011 au 09 juin 2011; p. 150. Link. Preprint.
D. Chabi, W. Zhao, D. Querlioz, J.-O. Klein, "Robust Neural Logic Block (NLB) based on Memristor Crossbar Array", 7th IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH ’11), San Diego, USA, Procs of IEEE/ACM NANOARCHI 2011, USA, June, 2011, pp.137-143. Link. Preprint.
H.-N. Nguyen, S. Retailleau, D. Querlioz, A. Bournel, P. Dollfus, "Monte Carlo study of ambipolar transport and quantum effects in carbon nanotube transistors", Simulation of Semiconductor Processes and Devices (SISPAD), San Diego, USA, in SISPAD Proceedings (2009). Link. Preprint.
D. Querlioz, J. Saint-Martin, P. Dollfus, "Decoherence due to electron-phonon scattering in semiconductor nanodevices", International Workshop of Computational Electronics (IWCE-13) 2009, Beijing, China, in IEEE Proceedings of IWCE 2009, p. 25 (2009). Link. Preprint.
H.-N. Nguyen, D. Querlioz, S. Galdin-Retailleau, A. Bournel, P. Dollfus, "Wigner Monte Carlo simulation of CNTFET: Comparison between semi-classical and quantum transport", International Workshop of Computational Electronics (IWCE-13), Beijing, China, in IEEE Proceedings of IWCE 2009, p. 257, 4 (2009). Link. Preprint.
K. Huet, J. Saint-Martin, A. Bournel, D. Querlioz, P. Dollfus, "Effect of access resistance on apparent mobility reduction in nano-MOSFET", Ultimate Integration on Silicon Conference (ULIS 2009), Aachen, Germany, in IEEE Proceedings of the 10th Conference on ULtimate Integration on Silicon, vol. 1, p. 35, 4 pages, 2009. Link. Preprint.
D. Querlioz, J. Saint-Martin, V.-N. Do, A. Bournel, P. Dollfus "Wigner ensemble Monte-Carlo simulation of nano-MOSFETs in degenerate conditions", International Conference on Nonequilibrium Carrier Dynamics in Semiconductors (HCIS) 2007 , Tokyo, Japan, in Physica status solidi (c) 5 (1), 150 (2008). Link.
D. Querlioz, J. Saint-Martin, V.-N. Do, A. Bournel, P. Dollfus, “Fully quantum self-consistent study of ultimate DG-MOSFETs including realistic scattering using a Wigner MC approach”, IEEE International Electron Device Meeting (IEDM), San Francisco, CA, USA, in IEDM Technical Digest, 941, 2006. Link. Preprint.
J. Saint-Martin, D. Querlioz, A. Bournel, P. Dollfus, “Efficient multi sub-band Monte Carlo simulation of nano-scaled Double Gate MOSFETs”, International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), Monterey, CA, USA, in SISPAD Proceedings, 216, 2006. Link. Preprint.
Book Chapters
M. Riou, J. Torrejon, F. Abreu Araujo, S. Tsunegi, G. Khalsa, D. Querlioz, P. Bortolotti, N. Leroux, D. Marković, V. Cros, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. D. Stiles, J. Grollier, "Reservoir computing leveraging the transient non-linear dynamics of spin-torque nano-oscillators". In Reservoir Computing (pp. 307-329). Springer, Singapore, 2021 Link. Amazon
S. Spiga, A. Sebastian, D. Querlioz, B. Rajendran, "Role of resistive memory devices in brain-inspired computing ", in Memristive Devices for Brain-Inspired Computing, Elsevier, 2020. Link. Amazon
A. Sebastian, D. Querlioz, S. Spiga, B. Rajendran, "Memristive devices as computational memory", in Memristive Devices for Brain-Inspired Computing, Elsevier, 2020. Link. Amazon
A. Mizrahi, R. Laurent, J. Grollier, D. Querlioz, "Exploiting the stochasticity of memristive devices for computing", in Memristive Devices for Brain-Inspired Computing, Elsevier, 2020. Link. Amazon
D. Querlioz, S. Spiga, A. Sebastian, B. Rajendran, "Memristive Devices for Deep Learning Applications", in Memristive Devices for Brain-Inspired Computing, Elsevier, 2020. Link. Amazon
B. Rajendran, D. Querlioz, S. Spiga, A. Sebastian, "Memristive Devices for Spiking Neural Networks", in Memristive Devices for Brain-Inspired Computing, Elsevier, 2020. Link. Amazon
D. Querlioz, O. Bichler, A. F. Vincent, C. G,amrat, "Theoretical Analysis of Spike Timing Dependent Plasticity Learning with Memristive Devices", in Advances in Neuromorphic Hardware using Emerging Nanodevices, M. Suri, ed., Springer, 2017. Link. Amazon.
A. F. Vincent, N. Locatelli and D. Querlioz, "Reinterpretation of Magnetic Tunnel Junctions as Stochastic Memristive devices", in Advances in Neuromorphic Hardware using Emerging Nanodevices, M. Suri, ed., Springer, 2017. Link. Amazon.
M. Nedjalkov, D. Querlioz, P. Dollfus, H. Kosina, "Wigner function approach", p. 289, 70 pages; in Selected topics in semiclassical and quantum transport modeling, Dragica Vasileska, Stephen M. Goodnick, Springer, 2011. Link. Amazon.
H.-N. Nguyen, D. Querlioz, A. Bournel, S. Retailleau, P. Dollfus, "Ohmic and Schottky contact CNTFET: transport properties and device performance using semi-classical and quantum particle simulation", p. 215, 22 pages; in Semiconductor-On-Insulator Materials for Nanoelectronics Applications, A. Nazarov, J.-P. Colinge, F. Balestra, J.-P. Raskin, F. Gamiz, V.S. Lysenko, Springer, Heidelberg, Dordrecht, London, 2011. Link. Amazon.
Invited Talks
D. Querlioz, "Computing with Physics: the Bayesian Approach", Computing with Physical Systems conference, Aspen, USA, January 2024.
D. Querlioz, "Bayesian In-Memory Computing with Resistive Memories", IEEE International Electron Device Meeting (IEDM), San Francisco, USA, December 2023.
D. Querlioz, "The Multifaceted Impact of Memristors on Neuromorphic Systems", GDR MEETICC "New Challenges in Quantum Materials" workshop, Nantes, France, December 2023.
D. Querlioz, "Neuromorphic Spintronics", Colloque Louis Néel, Sète, France, November 2023.
D. Querlioz, "Towards Self-Powered AI: Harnessing Memristor-Based Bayesian and Binarized Neural Networks for Edge Computing", 6th International Conference on Memristive Materials, Devices & Systems (MEMRISYS 2023), Torino, Italy, Nov 2023.
D. Querlioz, “Tackling Unpredictability in Emerging Memory Devices: the Bayesian Approach”, Non-Volatile Memory Technology Symposium (NVMTS), Leuven, Belgium, Sept 2023.
D. Querlioz, "The Multifaceted Impact of Memristors on Neuromorphic Systems", Keynote talk, ACM International Conference on Neuromorphic Systems (ICONS), Santa Fe, USA, Aug 2023.
D. Querlioz, "Lightning Talk - Creative Design Beyond Moore's Law", Design Automation Conference (DAC), San Francisco, USA, Jul 2023.
D. Querlioz, "Bayesian In-Memory Computing", Keynote talk, iMACAW workshop at the Design Automation Conference (DAC), San Francisco, USA, Jul 2023.
D. Querlioz, "Bayesian Nanoelectronics", Silicon Nanoelectronics Workshop at the Symposium on VLSI Technology and Circuits, Kyoto, Japan, June 2023.
D. Querlioz, "Concept to Circuit: Memristor-Based Neural Networks and Bayesian Machines", Workshop on Brain-Inspired Computing, Eindhoven, Netherlands, June 2023.
D. Querlioz, "Concept to Circuit: Memristor-Based Neural Networks and Bayesian Machines", Nonlinear Nano/Microsystems workshop, Grenoble, France, May 2023.
D. Querlioz, "Leveraging Physics for Energy-Efficient Artificial Intelligence ", C’Nano 2023 - The Nanoscience Meeting, Poitiers, France, March 2023.
D. Querlioz, "The Making of the Memristor-Based Bayesian Machine", École d'hiver Francophone sur les Technologies de Conception des Systèmes Embarqués Hétérogènes (FETCH), Lavey-les-Bains, Switzerland, Febuary 2023.
D. Querlioz, "Toward Energy-Efficient Artificial Intelligence with Brain Inspiration", Energetics of computation in artificial and natural networks, Paris, France, December 2022.
D. Querlioz, "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations", Annual Conference on Magnetism and Magnetic Materials (MMM), Minneapolis, USA, November 2022.
D. Querlioz, "Spintronic Nanodevices for Bioinspired Computing", MagnEFI Conference, Chersonissos, Greece, October 2022.
D. Querlioz, "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations", The Magnetic Recording Conference (TMRC), Milpitas, USA, August 2022.
D. Querlioz, "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations", Spintronics XV, SPIE Nanoscience + Engineering, San Diego, USA, August 2022.
D. Querlioz, "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations", Joint European Magnetic Symposia (JEMS), Warsaw, Poland, July 2022.
D. Querlioz, "Memory-Centric Machine Learning", International Conference on Machine Learning (ICML), Hardware Aware Efficient Training workshop, Baltimore, USA, July 2022.
D. Querlioz, "Neuroscience-Infused Deep Learning", LPNC Scientific Day, Grenoble, France, July 2022.
D. Querlioz, "Bayesian Nanoelectronics", EMRS Sping Meeting, Online, May 2022.
D. Querlioz, "Forecasting the outcome of spintronic experiments with Neural Ordinary Differential Equations", Second Meeting: TC-16 on Quantum, Neuromorphic and Unconventional Computing, Online, May 2022.
D. Querlioz, "Long Term Memory and Plasticity” (as part of an unconventional session animated with E. Neftci, E. Vianello, and M. Payvand), CapoCaccia Cognitive Neuromorphic Engineering Workshop, Italy, May 2022.
D. Querlioz, "Memory-Centric Artificial Intelligence", 47ème Forum ORAP : Vers un HPC frugal, online. December 2021.
D. Querlioz, "Memory-Centric Artificial Intelligence", 29th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC), Keynote talk, Singapore, October. 2021.
D. Querlioz, "Achieving Energy-Efficient AI by Exploiting Imperfect Nanodevices", International Conference on Unconventional Computation and Natural Computation (UCNC), Keynote presentation, Helsinki, Finland, October 2021.
D. Querlioz, Keynote presentation, Third International Workshop on Theoretical and Experimental Material Computing, Helsinki, Finland, October 2021.
D. Querlioz, "Memory-Centric Artificial Intelligence", HiPEAC's Computing Systems Week, Lyon, France, October 2021.
D. Querlioz, "Neuromorphic Computing in Non-Volatile Memory Technologies", Introductory course on Magnetic Random Access Memory (InMRAM) school, Grenoble, France, October 2021.
D. Querlioz, "Equilibrium Propagation: a Road for Physics-Based Learning", virtual 84. Annual Meeting of DPG and DPG-Tagung (DPG Meeting) of the Condensed Matter Section (SKM), September 2021.
D. Querlioz, "Achieving Energy-Efficient Artificial Intelligence Using Imperfect Nanodevices", IBM 2nd Annual Unconventional Computing Paradigms Workshop, held virtually, September 2021.
D. Querlioz, "Using Imperfect Nanodevices to Achieve Energy-Efficient Artificial Intelligence", MRS International Conference on "Materials for Humanity (MH 21)”, Singapore, held virtually, July 2021.
D. Querlioz, "Memory-Centric Artificial Intelligence", IEEE 16th International Conference on Design & Technology of Integrated System in Nanoscale Era (DTIS), Italy, held virtually, Keynote talk, June 2021.
D. Querlioz, "Memory-Centric Artificial Intelligence", 15ème Colloque National du GDR SOC2, Rennes, France, June 2021.
D. Querlioz, "Embracing the Unreliability of Memory Devices for Neuromorphic Computing", 1st Workshop on “AI hardware: Test, REliAbiliTy and Security” (AI-TREATS) of the IEEE European Test Symposium (ETS), held virtually, May 2021.
D. Querlioz, "Emerging Device Technologies for Neuromorphic Computing and Machine Learning", IEEE Electron Devices Technology and Manufacturing (EDTM), Chengdu, China, April 2021.
D. Querlioz, "In situ learning using intrinsic memristor variability", " Brain Inspired Computing” Worksjop, Univ. Sheffield/IIT Roorkee, held online, April 2021.
D. Querlioz, "From noisy devices to stable solutions", NEUROTECH Forum, online, March 2021.
D. Querlioz, "Embracing the Unreliability of Memory Devices for Neuromorphic Computing", IEEE International Reliability Physics Symposium (IRPS), Dallas, USA, (held online), April 2020.
D. Querlioz, "In-Memory Resistive RAM Implementation of Binarized Neural Networks for Medical Applications", Design, Automation and Test in Europe Conference (DATE), Special Day on "Embedded AI", Grenoble, France, (held online), March 2020.
D. Querlioz, "Hybrid Analog-Digital Learning with Differential RRAM Synapses", IEEE International Electron Devices Meeting (IEDM), San Francisco, USA, Dec. 2019.
D. Querlioz, "Brain-Inspired Computation with Spin Torque Devices", Non-Volatile Memory Technology Symposium, Durham, USA, Nov. 2019
D. Querlioz, Tutorial on Neuromorphic Computing, Magnetism and Magnetic Materials Conference (MMM), Las Vegas, USA, Nov 2019.
D. Querlioz, "Memory-Centric Neuromorphic Computing with Nanodevices" (as part of a special session), IEEE Biomedical Circuits and systems Conference (BIOCAS), Nara, Japan, Oct. 2019.
D. Querlioz, "In-Memory Implementation of Binarized Deep Neural Networks with Hafnium Oxide Based Memristive Devices ", EMRS Fall Meeting, Warsaw, Poland, Sept 2019.
D. Querlioz, International Workshop on Characterization and Modeling of Memory devices, Milan, Italy, October 2019.
D. Querlioz, French-US Symposium on Nanoelectronics, Paris, France, Sept 2019.
D. Querlioz, International Conference on Memristive Materials, Devices & Systems (MEMRISYS), Dresden, Germany, July 2019.
D. Querlioz, "Neuromorphic Computing with Nanodevices", International Workshop on Computational Nanotechnology, Evanston, USA, May 2019.
D. Querlioz, "Memory at the core of computation", IEEE International Conference on Rebooting Computing, Grenoble, France, April 2019.
D. Querlioz, "Bioinspired Computing Leveraging the Physics of Magnetic Nano-Oscillators", APS March Meeting, Boston, USA, March 2019.
D. Querlioz, "Bioinspired Computing Leveraging the Physics of Magnetic Nano-Oscillators", RIEC International Workshop on Spintronics, Sendai, Japan, Jan 2019.
D. Querlioz, "Emerging Device Technologies for Neuromorphic Computing", IEEE International Electron Devices Meeting (IEDM), 90 Minutes Tutorial, San Francisco, USA, 2018.
D. Querlioz, "Bioinspired Computing Leveraging the Physics of Magnetic Nano‐ Oscillators", Neuromorphic computing and hardware ‐ Gothenburg ‐ Stockholm joint workshop, Stockholm, Sweden (2018).
D. Querlioz, "Neural-like computing with populations of superparamagnetic devices", MemoCIS 8th Workshop, Dresden, Germany, 2018.
D. Querlioz, "In-Memory Computing: Lessons from the Brain", DANTE workshop "In-Memory Computing Emerging devices, architectures, and applications", Torino, Italy, 2018.
D. Querlioz, Magnetic Single Nano-Object Workshop & School, Nancy, France, 2018.
D. Querlioz, Tutorial on Neuromorphic Memories, International Memory Workshop, Kyoto, Japan, 2018.
D. Querlioz, "Neuromorphic Computing with Spin-Torque Nano-oscillators", SPICE-Workshop Spintronics meets Neuromorphics, Mainz, Germany, 2018.
D. Querlioz, "Neural-like computing with populations of superparamagnetic basis functions", Workshop on Spintronics and Nanomagnetism for Neuromorphic Computing, Leeds, UK, 2018.
D. Querlioz, "Natively intelligent memory: a vision made possible by emerging memory technologies", colloque annuel du LN2, Autrans, France
D. Querlioz, "Reinventing emerging non-volatile memories as nano-oscillators for neuromorphic computing", 10th LETI Memory workshop, Grenoble, France, 2018.
D. Querlioz, CIMTEC Congress, Perugia, Italy, 2018.
D. Vodenicarevic, N. Locatelli, A. Mizrahi, T. Hirtzlin, J. Friedman, J. Grollier, D. Querlioz, "Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions", ISCAS (as part of a special session), Florence, Italy, 2018.
D. Querlioz, "Reinventing non volatile memories as nano-oscillators for neuromorphic computing", Barcamp "La NVM dans tous ces états!", Fréjus, France, 2018.
D. Querlioz, "Emerging Technologies for Neuromorphic Computing", Keynote presentation, Ecole d'hiver Francophone sur les Technologies de Conception des Systèmes embarqués Hétérogènes, Saint-Malo, France, 2018.
D. Querlioz, A. F. Vincent, A. Mizrahi, D. Vodenicarevic, J. S. Friedman, N. Locatelli, J. Grollier, "Neuromorphic Computing with Stochastic Spintronic Devices", Annual Conference of Magnetism and Magnetic Materials (MMM), Pittsburgh, USA, 2017.
D. Querlioz, "Emerging Technologies for Neuromorphic Computing", Deep learning on chip school, Torino, Italy, 2017.
D. Querlioz, "Unconventional uses of embedded non-volatile memory: toward the “natively intelligent” memory", Leading Edge Embedded NVM Workshop, Gardanne, France, 2017.
D. Querlioz, "Neuromorphic computing with stochastic spintronic devices", Spintronics X - SPIE, San Diego, USA, 2017. Video.
D. Querlioz, "Computing with unreliable nanodevices", BIOCOMP Summer School, Roscoff, France, 2017.
D. Querlioz, "Exploiting the Intrinsic Timescales of Nanoelectronic Devices for Unconventional Computing", "Dynamical Systems and Brain Inspired Computing" workshop, Brussels, Belgium, 2017
D. Querlioz, "Implications of the Use of Magnetic Tunnel Junctions as Synapses in Neuromorphic Systems", ACM Great Lakes Symposium on VLSI (GLSVLSI), Banff, Alberta, Canada, 2017.
D. Querlioz, "Neuromorphic Computing with Spintronics", Seiden workshop "Beyond CMOS: from Devices to Systems", Haifa, Israel, 2017. Video.
D. Querlioz, "The COGNISPIN project: Cognitive Systems with Stochastic Spintronics Devices", Les rencontres du numérique de l’ANR, Paris, France, 2016.
D. Querlioz, "Bioinspired memories for the connected objects of the future", 1er colloque de la Fédération d’électronique « Internet des objets pour les applications biomédicales », Issy-les-Moulineaux, France, 2016.
D. Querlioz, "Bioinspired Programming of Memory Devices for Implementing an Inference Engine", BEYOND! von Neumann - Brain Inspired Computing, Berlin, Germany, 2016.
D. Querlioz, "Magnetic-based memristive devices", Workshop “Memristors: at the crossroad of Devices and Applications", Milano, Italy, 2016.
D. Querlioz, "Bioinspired memories", Journées Nano, Micro, et Opto-électronique, Issambres, France, 2016.
D. Querlioz, "Challenges associated with bioinspired circuits", first Workshop of the BioComp research network, Saint-Paul-de-Vence, France, 2015.
D. Querlioz, "Revisiting Memory for Bioinspired Systems", "Dynamical systems and brain-inspired information processing" workshop, Besancon, France, 2015.
D. Querlioz, "Revisiting Memory for Neuroinspired Systems", HALO workshop of International Conference On Computer Aided Design (ICCAD), Austin, USA, 2015.
D. Querlioz, "Neuromorphic Computing with Emerging Nanodevices", French-US workshop on Nanoelectronics, New York, USA, 2015.
D. Querlioz, "Computational Techniques for the Design of Bioinspired Systems that Employ Nanodevices", International Workshop on Computational Electronics, West Lafayette, USA, 2015.
D. Querlioz, "Novel computing paradigms with magnetic memory", Winter School on Design Technologies for Heterogeneous Embedded Systems, Louvain-la-Neuve, Belgium, 2015.
D. Querlioz, "Neuromorphic Computing with Emerging Non-Volatile Memory", CMOS Emerging Technologies Research Symposium, Grenoble, 2014
D. Querlioz, "Les nouvelles technologies mémoire: une révolution pour une électronique neuroinspirée ?" (in French), journée de l'Ecole Doctorale Sciences pour l'ingénieur, Marseille, 2014
D. Querlioz, " Memristive devices: a tool for understanding the physics of computation in the brain, or a new technology for neuro-computers?” (as part of an unconventional session animated with S. Vassanelli, S. Spiga, F. Alibart, B. Linares-Barranco, T. Prodromakis and S. Saighi), CapoCaccia Cognitive Neuromorphic Engineering Workshop, Italy, 2014.
A. F. Vincent, J. Larroque, W. S. Zhao, N. Ben Romdhane, O. Bichler, C. Gamrat, J.-O. Klein, S. Galdin-Retailleau, D. Querlioz, "Spin-Transfer Torque Magnetic Memory As a Stochastic Memristive Synapse", ISCAS 2014 (invited special session), Melbourne, Australia.
D. Querlioz, W. S. Zhao, A. F. Vincent, J.-O. Klein, P. Dollfus, S. Retailleau, O. Bichler, C. Gamrat, M. Suri, B. De Salvo, "Emerging non-Volatile Memories for Cogntive Computing Applications", Winter School on Design Technologies for Heterogeneous Embedded Systems, Ottawa, Canada, 2014.
D. Querlioz et al, “Neuroinspired Computing with Imperfect Nanodevices and Nanocircuits”, Workshop "Experimental Reservoir Computing (Towards hardware for novel computational paradigm)", Besancon, 2013.
D. Querlioz, W. S. Zhao, A. Vincent, J.-O. Klein, P. Dollfus, S. Retailleau, O. Bichler, C. Gamrat, M. Suri, B. De Salvo, "Non-Volatile memories: a breakthrough for cognitive computing", Leading Edge Embedded NVM Workshop, Gardanne, France, 2013.
D. Querlioz, "Composants Memristors pour Architectures de Calcul Bio‐inspirées" (in French), Journée annuelle du Labex NanoSaclay, Orsay, France, 2013
D. Querlioz, W. S. Zhao, J.-O. Klein, P. Dollfus, S. Retailleau, O. Bichler, C. Gamrat, M. Suri, B. De Salvo, "Neuromorphic Computing with Emerging Non-Volatile Memory", Workshop "Spintronics based Computing", Beihang Univ., Beijing, China, 2013
D. Querlioz, W.S. Zhao, J.-O. Klein, P. Dollfus, O. Bichler, C. Gamrat, "New computational paradigms based on non volatile memories", Winter School on Design Technologies for Heterogeneous Embedded Systems, Leysin, Switzerland, 2013
D. Querlioz, W. S. Zhao, D. Chabi, P. Dollfus, J.-O. Klein, O. Bichler, C. Gamrat, M. Suri, B. De Salvo "Memristor based neuromorphic architectures: from concept to reality (part 2)", Bio-inspired computing and architectures workshop, Lille, 2012. Video.
D. Querlioz et al, "Nanoarchitectures bioinspirées" (in French), Journées Nanoélectronique du Club EEA, Orsay, 2012
D. Querlioz, W. S. Zhao, D. Chabi, P. Dollfus, J.-O. Klein, O. Bichler, C. Gamrat, M. Suri, B. De Salvo, K. Gacem, V. Derycke, "Neuromorphic Computing with Imperfect Memristive Devices", Memristors for Computing workshop, Fréjus, 2012.
D. Querlioz, "Designing Systems with Memristive Synapses", Memristor and Neurocomputing Tutorial, ESSDERC/ESSCIRC, Bordeaux 2012.
D. Querlioz, O. Bichler, M. Suri, O. Cueto, L. Perniola, V. Sousa, D. Vuillaume, P. Dollfus, C. Garmat, B. De Salvo, "Phase change memory as memristive synapses: from devices to applications", Memristor: From Theory to Applications (IEEE/CAS workshop), Torino, Italy, 2011
D. Querlioz, "Réinventer l’électronique avec les memristors" (in French), Journée Electronique de Spin C’nano IdF, Paris, 2011.
D. Querlioz, "The neuromorphic approach : a solution to deal with memristor variability?", Journée Memristor, Palaiseau, 2011.
Involvement in Conferences
Conference cochair, International conference on neuromorphic, natural and physical computing, Hannover, Germany, 2023.
Publicity cochair, 8th Annual IEEE International Conference on Rebooting Computing (ICRC), San Diego, USA, 2023,
Track Cochair (Memory), IEEE/ACM DATE, 2022, Anvers, Belgium.
Member of the Advisory Board 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, Genova, Italy.
Tutorial co-chair, IEEE International Conference on Electronics Circuits and Systems, Glasgow, UK, 2020.
Member of the TPC in "Emerging Computing, and Post-CMOS Technologies", GLSVLSI, Beijing, China, 2020.
Track chair in Memory, VLSI Design Conference: Embedded, Bengaloru, India, 2020.
Member of the TPC in "Emerging Design Technologies for Future Memories", DATE, Grenoble, France, 2020.
Co-program chair IEEE/ACM Nanoarch, 2019 (Qingdao, China) .
Member of the TPC in "Emerging Computing, and Post-CMOS Technologies", GLSVLSI, Washington, USA, 2019.
Session chair at CIMTEC, Peruggia, 2018
Session chair at the BIOCOMP workshop, Bordeaux, 2018
Member of the program committee, IEEE/ACM Nanoarch, 2011, 2012, 2015, 2016, 2017, 2018.
Co-organizer of a special session on "Low Power Computing based on Non-Volatile Memories", GLSVLSI 2017, Banff, Canada.
Session chair, International Conference on Memristive Systems (MEMRISYS) 2017, Athens
TPC member, International Conference on Memristive Systems (MEMRISYS) 2015, Cyprus
Poster session chair, IEEE Intermag 2015, Beijing.
Session chair, "Energy-efficient Computing", DATE 2015, Grenoble.
Member of the Scientific commitee, Symposium "Non-volatile memories: materials, nanostructures and integration approaches", EMRS 2015, Lille.
Session chair, "NEMS Based Circuits & Systems", IEEE/ACM Nanoarch 2014, Paris.
Session chair, "Inorganic memristor arrays", EMRS , 2014, Lille.
Member of the Scientific commitee, Symposium "Memristor materials, mechanisms and devices for unconventional computing ", EMRS 2014, Lille.
Session chair, "Memristors for Computing" workshop, Fréjus 2012.
Member of the organization commitee, "Memristors for Computing" workshop, Fréjus 2012.
Outreach
Conférence sur la mémoire bioinspirée, Palaiseau (Fête de la Science), 2023.
Table ronde sur la mémoire informatique bioinspirée, Biomim'expo, Paris, 2022.
Conférence sur l’ordinateur bioinspiré, Gif-sur-Yvette (Fête de la Science), 2021.
Café rencontre de l’ADEZAC, Palaiseau, 2019.
"Sers toi de ta tête" event organized by ICD International Business School, Paris, 2019.
Conférence: "L'ordinateur de demain sera-t-il bio-inspiré ?", Semaine du cerveau, Nice, 2018
"Le décodeur minute : que serait un ordinateur bio-inspiré ?", Université Côte d'Azur, 2018. short video
Conférences et débats - Dialogues - Des clés pour comprendre, "L'ordinateur de demain sera-t-il bio-inspiré ?", with Laurent Larger, CNAM, 2017.
Panel at France is AI 2017: AI hardware: the next big conquest?, Paris, 2017. Video.
Participation to the general public MOOC: "Comprendre les Nanosciences", 2017 and 2018.
RFI radio, Autour de la question, "Pourquoi s’inspirer du cerveau pour les ordinateurs du futur?", 2017 replay
Forum CNRS : Que reste-t-il à découvrir ?, Grand débat, "Langage, sécurité, stockage : les défis de l’informatique", 2017 video
Les jeudis de la recherche, "Réinventer la mémoire de nos ordinateurs en s’inspirant du cerveau", conference and lab visit, 2015
Press Mentions
"Julie Grollier, la physicienne qui crée des neurones artificiels", Le Monde, 2021.
"Les réseaux de neurones virtuels sont-ils plus efficaces que le cerveau humain ? ", Sciences et Avenir, 2021
"Copier le fonctionnement du cerveau pour économiser de l’énergie" (Interview), Techniques de l'Ingénieur, 2020.
"Au bout de la logique neuromorphique", Industrie et Technologies, 2019.
"Le cerveau s'impose comme modèle", Industrie et Technologies, 2019.
"Intelligence artificielle : un superordinateur simule un réseau de 77.000 neurones en temps réel", FUTURA Sciences, 2019
"Les puces accélératrices de l'IA prolifèrent", Industrie et Technologies, 2019.
"Quand l'ordinateur copiera le cerveau", Les Echos, 2019.
"Les neurones artificiels deviennent nanométriques", La Recherche, 2018
"Demain, un ordinateur inspiré de notre cerveau?", Journal du CNRS, 2018.
"What’s Next In Neuromorphic Computing", Semiconductor Engineering, 2018
"Nanodevice generates random numbers", IOP nanotechweb, 2018
"Sur la piste neuromorphique", L'Usine Nouvelle, 2017
"Une synapse artificielle apprend seule", Le Monde, 2017
"Des composants bio-inspirés", Le Monde, 2017
"Magnetic RAM makes synaptic-like junction", IOP nanotechweb, 2015
"Nanotechnologies, la révolution invisible", Science & Vie, Hors‐Série, 2010