Phase synchronization and neuromorphic computing in arrays of nanoelectromechanical oscillators

Envoyé par Avriller Rémi 
Laboratory name: Laboratoire Ondes et Matière d’Aquitaine (LOMA), UMR 5798, 351 cours de la Libération, 33405 TALENCE
Internship + PhD director’surname: Fabio Pistolesi & Rémi Avriller
e-mail: Fabio.Pistolesi at & remi.avriller at
Web page: []
Master 2 internship and PhD : funded by ANR

Phase synchronization and neuromorphic computing in arrays of nanoelectromechanical oscillators

Context. Recent progress in micro and nanofabrication enabled to design mechanical micro and nano-resonators with properties well controlled by external gate voltages and electronic currents. In particular, SiN drum resonators [1] were shown to have large capacitive coupling to the gate electrode and high-quality factors, thus making them ideal candidates for further integration in complex electronic circuits. Indeed, arrays of such micro and nano-resonators, have been predicted to synchronize due to their large mechanical non-linearities [2,3], low dissipation rate, and mutual mechanical and optomechanical coupling. This suggests to use them in innovative devices as elementary building blocks for performing neurocomputing calculations [4,5].

In this M2 internship, we propose to investigate from the theoretical point of view, the mechanism of phase synchronization of arrays of SiN drum resonators, coupled to a single microwave optomechanical circuit.

The internship will first focus on the effect of non-linearities and of how they affect the dynamics of a single opto-mechanical resonator. Then, we will investigate the conditions of phase synchronization to occur when many such resonators couple to the same microwave cavity [3]. The final goal of this work is to investigate how this system can perform neurocomputing tasks (for instance, pattern recognition).

The candidate profile. The candidate for the Master 2 internship should have a background and interest in the following disciplines: quantum physics, statistical physics, condensed matter. Good skills and tastes in analytical methods, scientific computing and English would be appreciated. The candidate will be supervised by Fabio Pistolesi and Rémi Avriller in LOMA, a laboratory of CNRS and of the University of Bordeaux. He (she) will benefit from a dynamic scientific environment, and the possibility to continue in PhD (available fellowship financed by ANR).[/right]

References: [1] X. Zhou, et al., Nano Letters, 21, 13, 5738-5744 (2021). [2] M. H. Matheny, et al., Phys.Rev.Lett. 112, 014101 (2014). [3] G. Heinrich, et al., Phys. Rev. Lett. 107, 043603 (2011). [4] M. Romera, et al., Nature 563, 230–234 (2018). [5] Frank C. Hoppensteadt, et al., IEEE Transactions, 48, 2, 133-138, (2001).