Our PhD student Corentin Delacour has a paper accepted at the 79th Device Research Conference 2021. His work is entitled “Frequency Injection Locking-Controlled Oscillations for Synchronized Operations in VO2 Crossbar Devices”. DRC [...]
Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic EU H2020 NeurONN Researchers have recently published the paper "Oscillatory Neural Networks Using VO2 Based Phase Encoded Logic" at the journal "Frontiers in Neuromorphic Engineering". Their work proposes a [...]
Invited Speaker at World Nano Congress on Advanced Science and Technology 2021. Dr. Aida Todri-Sanial gave an invited talk entitled “From materials, devices to architectures for energy efficient neuromorphic computing based in oscillatory neural networks”.
Coupled VO2 oscillators circuit as analog first layer filter in convolutional neural networks Authors: Elisabetta Corti, Joaquin Antonio Cornejo Jimenez, Kham M. Niang, John Robertson, Kirsten E. Moselund, Bernd Gotsmann, Adrian M. Ionescu, Siegfried Karg [...]
From Atoms to Applications Authors: Stefania Carapezzi, Madeleine Abernot, Corentin Delacour, Nadine Azemard, Jeremie Salles, Thierry Gil and Aida Todri-Sanial (Microelectronics Department, LIRMM, University of Montpellier, CNRS, Montpellier, France) Poster Title NeurONN: A [...]
Material Research Society (MRS) Fall Meeting 2020 Authors: Elisabetta Corti, Abhishek Khanna, Fabian Koenemann, Bernd Gotsmann and Siegfried Karg (IBM Research Zurich) Kham Niang, John Robertson (Cambridge University) Talk Title Scaled VO2 Oscillators for [...]
XXXV Conference on Design of Circuits and Integrated Systems (DCIS 2020) Authors: Jafar Shamsi, Maria Jose Avedillo, Bernabe Linares-Barranco and Teresa Serrano-Gotarredona (CSIC/IMSE, Spain) Paper Title Oscillatory Hebbian Rule (OHR): An adaption of the [...]
Magazine Article - Fraunhofer MIKROELEKTRONIK Fraunhofer MIKROELEKTRONIK, “Energy-efficient technologies for neuromorphic computers”, at Microelectronics News online, page 14, August 2020: "In the EU project NeurONN, in which Fraunhofer EMFT is also involved, components and architectures for neuromorphic computing are being [...]