Ab Initio Computer Simulations on Interfacial Properties of Single- Layer MoS 2 and Au Contacts for Two-Dimensional Nanodevices
How does the presence of defects influence the quality of MoS2-Au contacts in two-dimensional nanodevices? Check out our new work at ACS Applied Nano Materials. Abstract: The functionality and performance of devices based on atomically thin [...]
Post-Doc Researcher Dr. Stefania Carapezzi publishes at IEEE Journal JETCAS
Paper Title: Advanced Design Methods From Materials and Devices to Circuits for Brain-Inspired Oscillatory Neural Networks for Edge Computing In this paper, we assess an innovative concept of emulating biological neurons with oscillators to implement an oscillatory neural [...]
PhD Student Corentin Delacour publishes at Frontiers in Neuroscience
Paper Title: Mapping Hebbian Learning Rules to Coupling Resistances for Oscillatory Neural Networks Oscillatory Neural Network (ONN) is an emerging neuromorphic architecture with oscillators representing neurons and information encoded in oscillator's phase relations. In an ONN, oscillators are [...]
Albany Nanotechnology Symposium 2021
Today, Dr. Stefania Carapezzi, EU H2020 NeurONN, CNRS Occitanie Est, LIRMM gives a Talk on simulations of VO2 oscillators for ONN applications in the frame of virtual 2021 Albany Nanotechnology Symposium at 19h00 pm CET! Stay tuned! https://albanynanotechnology.org/contributed-talks/
ACM Europe Summer School – Best Poster Award
Madeleine Abernot, PhD student at EU H2020 NEURONN, Centre national de la recherche scientifique, LIRMM, received one of the Best Poster Awards for her presentation on "FPGA Implementation of Oscillatory Neural Networks for Artificial Intelligence Edge Computing" during the ACM [...]
RSC MC15
On July 13th 2021, G. Boschetto, Post-Doctoral Researcher, CNRS, LIRMM presented his work on the atomistic modelling of 2D materials for both biosensing and 2D memristor devices at the 15th International Conference on Materials Chemistry (RSC MC15), which took place [...]
IBM/IEEE AI Compute Symposium
On October 13th, our PhD student Madeleine Abernot, CNRS, LIRMM presented her poster on “Mobile Robot Obstacle Avoidance with Oscillatory Neural Networks on FPGA” in the IBM/IEEE AI Compute Symposium. The poster won the third place of track 2 – [...]
CNRS-CSIC/IMSE-A.I.M Publication at Frontiers in Neuroscience
Paper Title: Digital Implementation of Oscillatory Neural Network for Image Recognition Applications Computing paradigm based on von Neuman architectures cannot keep up with the ever-increasing data growth (also called “data deluge gap”). This has resulted in investigating novel [...]
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase
Check out our recent article on brain-inspired computing with oscillatory neural networks for solving complex associative problems. This original work exploits the sub-harmonic injection locking method for controlling the oscillatory states of coupled oscillators to facilitate learning and inference. These [...]
European Materials Research Society (E-MRS)
Dr. Stefania Carapezzi presented her paper at the 2021 Fall Meeting of the European Materials Research Society (E-MRS). Her work is entitled “VO2 Oscillators on Si Platform for Neuromorphic Computing Applications”.