most citedAnomalous Floquet Topological Disclination States

4 citations · 9 across the 5 of their papers we have counts for

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physics.app-ph20244 cited

Training of Physical Neural Networks

Ali Momeni, Babak Rahmani, Benjamin Scellier +25

Physical neural networks (PNNs) are a class of neural-like networks that leverage the properties of physical systems to perform computation. While PNNs are so far a niche research…

physics.app-ph2024

Synchronization-based lossless non-reciprocal scattering

Tiemo Pedergnana, Abel Faure-Beaulieu, Romain Fleury +1

Breaking the reciprocity of wave propagation is a problem of fundamental interest, and a mucht-sought functionality in practical applications, both in photonics and phononics. Alth…

physics.app-ph2024

Experimental observation of parabolic wakes in thin plates

Janez Rus, Aleksi Bossart, Benjamin Apffel +2

Wakes are medium perturbations created by a moving object, such as wave patterns behind boats, or wingtip vortices following an aircraft. Here, we report about an experimental stud…

physics.app-ph2023

Active Su-Schrieffer-Heeger-like System

Mathieu Padlewski, Maxime Volery, Romain Fleury +2

An acoustic dimer composed of two electronically controlled electro-acoustic resonators is presented in view of exploring one-dimensional topological phenomena.

physics.app-ph2023

Scattering from Time-modulated Transmission Line Loads: Theory and Experiments in Acoustics

Matthieu Malléjac, Romain Fleury

Scattering wave systems that are periodically modulated in time offer many new degrees of freedom to control waves both in spatial and frequency domains. Such systems, albeit linea…