Publicaciones

Affichage de 1781 à 1790 sur 16076


  • Article dans une revue

Fabrication of silicon nitride membrane nanoelectromechanical resonator

Hao Xu, Srisaran Venkatachalam, Christophe Boyaval, Pascal Tilmant, Francois Vaurette, Yves Deblock, Didier Theron, Xin Zhou

In this work, we present details of the nanofabrication process for achieving a silicon nitride nanoelectromechanical resonator, consisting of a membrane covered with a thin aluminium layer capacitively coupled to a suspended top gate. Critical nanofabrication steps have been discussed, including...

Microelectronic Engineering, 2023, 280, pp.112064. ⟨10.1016/j.mee.2023.112064⟩. ⟨hal-04172152⟩

  • Communication dans un congrès

On exploiting the synaptic interaction properties to obtain frequency-specific neurons

Guillaume Marthe, Claire Goursaud, Romain Cazé, Laurent Clavier

Energy consumption remains the main limiting factors in many IoT applications. In particular, micro-controllers consume far too much power. In order to overcome this problem, new circuit designs have been proposed and the use of spiking neurons and analog computing has emerged as it allows a very...

DCAS 2023 - IEEE 16th Dallas Circuits and Systems Conference, Apr 2023, Denton, United States. pp.1-6, ⟨10.1109/DCAS57389.2023.10130264⟩. ⟨hal-04182362⟩

  • Article dans une revue

Effect of electronic stopping in molecular dynamics simulations of collision cascades in gallium arsenide

Johannes L. Teunissen, Thomas Jarrin, Nicolas Richard, Natalia E. Koval, Daniel Muñoz Santiburcio, Jorge Kohanoff, Emilio Artacho, Fabrizio Cleri, Fabiana da Pieve

Understanding the generation and evolution of defects induced in matter by ion irradiation is of fundamental importance to estimate the degradation of functional properties of materials. Computational approaches used in different communities, from space radiation effects to nuclear energy...

Phys.Rev.Mater., 2023, 7 (2), pp.025404. ⟨10.1103/PhysRevMaterials.7.025404⟩. ⟨hal-04006144⟩

  • Article dans une revue

Deep learning aided topology optimization of phononic crystals

Paweł Kudela, Abdalraheem Ijjeh, Maciej Radzienski, Marco Miniaci, Nicola Pugno, Wieslaw Ostachowicz

In this work, a novel approach for the topology optimization of phononic crystals based on the replacement of the computationally demanding traditional solvers for the calculation of dispersion diagrams with a surrogate deep learning (DL) model is proposed. We show that our trained DL model is...

Mechanical Systems and Signal Processing, 2023, 200, pp.110636. ⟨10.1016/j.ymssp.2023.110636⟩. ⟨hal-04182336⟩

  • Autre publication scientifique

Advances in Historical Studies [Editor in Chief 12/3]

Raffaele Pisano

2023. ⟨hal-04510936⟩

  • Article dans une revue

Topological vortex mode for flexural waves in pillared plates

Zhihui Wen, Julio Andrés Iglesias Martínez, Yabin Jin, Yan Li, Bahram Djafari-Rouhani, Daniel Torrent, Jean-Louis Raynaud, Abdelkrim Khelif

Localized topological modes with high robustness to various perturbations are receiving increasing attention. Recently, zero-order topological vortex modes have been designed in phononic structures, in analogy with zero-energy fermionic states modulated by Jackiw-Rossi binding mechanism. Such...

Materials & Design, 2023, 233, pp.112209. ⟨10.1016/j.matdes.2023.112209⟩. ⟨hal-04188368⟩