A5002317692- Metamaterials and Metasurfaces Applications
- Acoustic Wave Phenomena Research
- Advanced Antenna and Metasurface Technologies
- Image and Signal Denoising Methods
- Tensor decomposition and applications
- Agriculture and Rural Development Research
- Electromagnetic Simulation and Numerical Methods
- Advanced Materials and Mechanics
- Computer Graphics and Visualization Techniques
- Digital Filter Design and Implementation
- Cellular and Composite Structures
- Underwater Acoustics Research
- Speech and Audio Processing
- Antenna Design and Optimization
- Random lasers and scattering media
- Electromagnetic Scattering and Analysis
- Advanced Adaptive Filtering Techniques
Institut Fresnel
2017-2024
Centrale Marseille
2017-2024
Centre National de la Recherche Scientifique
2017-2024
Aix-Marseille Université
2017-2022
Conservatoire National des Arts et Métiers
2016
Epsilon Systems (United States)
2015-2016
CSInstruments (France)
2014
We begin with a brief historical survey of discoveries quasi-crystals and graphene, then introduce the concept transformation crystallography, which consists application geometric transforms to periodic structures. consider motifs three-fold, four-fold six-fold symmetries according crystallographic restriction theorem. Furthermore, we define five-fold symmetry such as generated by cut-and-projection method from structures in higher-dimensional space. analyze elastic wave propagation...
We revisit the design of cloaks, without resorting to any geometric transform. Cancellation techniques and anomalous resonances have been applied for this purpose. Instead a deductive reasoning, we propose novel mono-objective optimization algorithm, namely ternary grey wolf adapt bi-objective algorithm. Firstly, proposed chaotic algorithm searches three-valued spaces all permittivity values in cloak while minimizing summation protection criterion an invisibility criterion. Secondly, genetic...
We propose to use morphing algorithms deduce some approximate wave pictures of scattering by cylindrical invisibility cloaks various shapes deduced from the exact computation (e.g. using a finite element method) two given shapes, say circular and elliptic ones, thereafter called source destination images. The error in L2 norm between solutions via images is typically less than 1 percent if control points are judiciously chosen. Our approach works equally well for rotators concentrators, also...
We introduce the concept of transformation crystallography which consists application geometric transforms to periodic structures. consider motifs with three-fold, four-fold and six-fold symmetries according crystallographic restriction theorem. Furthermore, we define five-fold symmetry such as quasi-crystals generated by a cut-and-projection method. analyze elastic wave propagation in transformed crystals (Penrose-type) finite difference time domain freeware SimSonic. underpinning design...
We revisit the design of cloaks, without resorting to any geometric transform. Cancellation techniques and anomalous resonances have been applied for this purpose. Instead a deductive reasoning, we propose novel mono-objective optimization algorithm, namely ternary grey wolf adapt bi-objective algorithm. Firstly, proposed chaotic algorithm searches three-valued spaces all permittivity values in cloak while minimizing summation protection criterion an invisibility criterion. Secondly, genetic...
In the framework of wave propagation, finite difference time domain (FDTD) algorithms, yield high computational time. We propose to use morphing algorithms deduce some approximate pictures their interactions with fluid-solid structures various shapes and different sizes deduced from FDTD computations scattering by solids three given shapes: triangular, circular elliptic ones. The error in L 2 norm between solution via source destination images are typically less than 1% if control points...
Ronald Aznavourian¹, Jérôme Lanteri², Claire Migliaccio², Julien Marot¹ [1]: CNRS, Aix Marseille Université, Centrale Marseille, Institut Fresnel UMR 7249, France, [ronald.aznavourian@fresnel.fr](ronald.aznavourian@fresnel.fr),[julien.marot@fresnel.fr](julien.marot@fresnel.fr) [2]: Laboratoire d’Électronique, Antennes et Télécommunications, Université Cote d’Azur, Nice,...
A lot of applications are possible with AI: classification, to sort a images in many different categories, denoising, improve the quality signal or an image, and “generative”, create fake image which seems be very real. Here, I propose use autoencoder denoise radar images. In order achieve this, first adequate dataset 60,000 train autoencoder.