Publications

Affichage de 1861 à 1870 sur 16094


  • Communication dans un congrès

Topological states in Hermitian and non-Hermitian beams

Y. Jin, L. He, W. Wang, R. Cai, W. Zhong, X. Zhuang, T. Rabczuk, Y. Pennec, Bahram Djafari-Rouhani

PHONONICS 2023: 6th International Conference on Phononic Crystals/Metamaterials/Metasurfaces, Phonon Transport, and Topological Phononics, Jun 2023, Manchester (UK), United Kingdom. ⟨hal-04373851⟩

  • Article dans une revue

[Review] Emerging topics in nanophononics and elastic, acoustic, and mechanical metamaterials: an overview

Anastasiia O Krushynska, Daniel Torrent, Alejandro M Aragón, Raffaele Ardito, Osama R Bilal, Bernard Bonello, Federico Bosia, Yi Chen, Johan Christensen, Andrea Colombi, Steven A Cummer, Bahram Djafari-Rouhani, Fernando Fraternali, Pavel I Galich, Pedro David Garcia, Jean-Philippe Groby, Sébastien Guenneau, Michael R Haberman, Mahmoud I Hussein, Shahram Janbaz, Noé Jiménez, Abdelkrim Khelif, Vincent Laude, Mohammad J Mirzaali, Pavel Packo, Antonio Palermo, Yan Pennec, Rubén Pico, María Rosendo López, Stephan Rudykh, Marc Serra-Garcia, Clivia M Sotomayor Torres, Timothy A Starkey, Vincent Tournat, Oliver B Wright

This broad review summarizes recent advances and “hot” research topics in nanophononics and elastic, acoustic, and mechanical metamaterials based on results presented by the authors at the EUROMECH 610 Colloquium held on April 25-27, 2022 in Benicássim, Spain. The key goal of the colloquium was to…

Nanophotonics, 2023, 12 (4), pp.659-686. ⟨10.1515/nanoph-2022-0671⟩. ⟨hal-04233141⟩

  • Communication dans un congrès

[Invited] Design of Metamaterials for Acoustic Stealth Using Optimization Tools

Laetitia Roux, Charles Croenne, Monique Pouille, C. Audoly, Anne-Christine Hladky

PHONONICS 2023: 6th International Conference on Phononic Crystals/Metamaterials/Metasurfaces, Phonon Transport, and Topological Phononics, Jun 2023, Manchester (UK), United Kingdom. ⟨hal-04374254⟩

  • Communication dans un congrès

Exploring Machine Learning Privacy/Utility Trade-Off from a Hyperparameters Lens

Ayoub Arous, Amira Guesmi, Muhammad Abdullah Hanif, Ihsen Alouani, Muhammad Shafique

Machine Learning (ML) architectures have been applied to several applications that involve sensitive data, where a guarantee of users' data privacy is required. Differentially Private Stochastic Gradient Descent (DPSGD) is the state-of-the-art method to train privacy-preserving models. However…

International Joint Conference on Neural Networks (IJCNN 2023), Jun 2023, Gold Coast, Australia. ⟨10.1109/IJCNN54540.2023.10191743⟩. ⟨hal-04202435⟩

  • Article dans une revue

An LSTM-Based Network Slicing Classification Future Predictive Framework for Optimized Resource Allocation in C-V2X

Mohammed Salah Abood, Hua Wang, Dongxuan He, Maha Fathy, Sami Abduljabbar Rashid, Mohammad Alibakhshikenari, Bal Virdee, Salahuddin Khan, Giovanni Pau, Iyad Dayoub, Patrizia Livreri, Taha Elwi

With the advent of 5G communication networks, many novel areas of research have emerged and the spectrum of communicating objects has been diversified. Network Function Virtualization (NFV), and Software Defined Networking (SDN), are the two broader areas that are tremendously being explored to…

IEEE Access, 2023, 11, pp.129300-129310. ⟨10.1109/ACCESS.2023.3332225⟩. ⟨hal-04369688⟩