Publications

• Article dans une revue

Hydrothermal niobium (Nb) mineralization and mobilization in the world-class Madeira Sn-Nb-Ta granitic deposit (Amazonas, Brazil)

Quentin Bollaert, Mathieu Chassé, Artur Bastos Neto, Adriana Horbe, Thierry Allard, Nicolas Menguy, Corentin Le Guillou, Alexandra Courtin, Cécile Quantin, Delphine Vantelon, David Troadec, Laurence Galoisy, Georges Calas

The Madeira deposit is a world-class tin (Sn) deposit characterized by a unique mineralogical assemblage composed of a massive cryolite (NaAlF3) deposit associated with economically important metals like Nb (0.20 wt% Nb2O5). Although hydrothermal alteration has long been recognized in the cryolite…

Ore Geology Reviews, 2024, Ore Geology Reviews, 174, pp.106321. ⟨10.1016/j.oregeorev.2024.106321⟩. ⟨hal-04772956⟩

• Article dans une revue

Thermal characterization of Ge-rich GST thin films for phase change memories by Raman thermometry

Akash Patil, Yannick Le-Friec, Pascal Roussel, Yves Deblock, Simon Jeannot, Philippe Boivin, Emmanuel Dubois, Jean-François Robillard

<div><p>Doped GeSbTe (GST)-based phase change materials are of growing interest due to their ability to enable high-temperature data retention for embedded memory applications. This functionality is achieved through Ge enrichment and addition of dopants such as N and C in…

Journal of Applied Physics, 2024, 136, ⟨10.1063/5.0226265⟩. ⟨hal-04764747⟩

• Brevet

Dynamical model compression for deep neural networks

Qingyuan Wang, Deepu John, Barry Cardiff, Antoine Frappe, Benoit Larras

Unknown Region, Patent n° : WO2024223921 (A1) 2024-10-31. 2024, N° de priorité : EP20230170174 20230426 - N° de demande : WO2024EP61699 20240426. ⟨hal-05652909⟩

• Brevet

Dynamical model compression for deep neural networks

Qingyuan Wang, Deepu John, Barry Cardiff, Antoine Frappe, Benoit Larras

Unknown Region, Patent n° : EP4455945 (A1) 2024-10-30. 2024, N° de priorité : EP20230170174 20230426 - N° de demande : EP20230170174 20230426. ⟨hal-05652907⟩

• Chapitre d'ouvrage

Tiny Models are the Computational Saver for Large Models

Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John

Computer Vision – ECCV 2024, 15114, Springer Nature Switzerland, pp.163-182, 2024, Lecture Notes in Computer Science, ⟨10.1007/978-3-031-72992-8_10⟩. ⟨hal-05053902⟩

• Communication dans un congrès

Tiny Models are the Computational Saver for Large Models

Qingyuan Wang, Barry Cardiff, Antoine Frappé, Benoit Larras, Deepu John

Computer Vision – ECCV 2024: 18th European Conference, Sep 2024, Milan, Italy. pp.163-182. ⟨hal-05053907⟩

• Communication dans un congrès

Selective Area Epitaxy of In-Plane HgTe Nanostructures on CdTe(001) Substrate

Nicolas Chaize, Xavier Baudry, Jean-Luc Rouviere, Eric Gautier, Pierre-Henri Jouneau, Yves Deblock, Bruno Grandidier, Hermann Sellier, Ludovic Desplanque, Philippe Ballet

Conférence JMC 2024, Oct 2024, Marseille, France. ⟨hal-05546424⟩

• Communication dans un congrès

NEMS reservoir computing with high memory capacity

Toky Harrison Rabenimanana, Pierre Laly, Xin Zhou

Physical reservoir computing is a type of artificial neural network where the dynamic of a physical nonlinear system called reservoir is exploited for information processing. Among the various physical systems proposed for the reservoir, Nano Electromechanical Systems (NEMS) have often been…

19èmes Journées de la Matière Condensée (JMC 2024), Oct 2024, Marseille, France. ⟨hal-04833541⟩

• Communication dans un congrès

Coupled nanomechanical resonators in a multi-tone control scheme

Toky Harrison Rabenimanana, Xin Zhou

The multimode systems in optomechanics and nano/micro-electromechanics have stimulated strong interests in the study of interference processes through multi-tone control. It not only offers the method to cancel the back-action effects of the "cavity force", but also provides the way to…

19èmes Journées de la Matière Condensée (JMC 2024), Oct 2024, Marseille, France. ⟨hal-04833626⟩

• Communication dans un congrès

AdvART: Adversarial Art for Camouflaged Object Detection Attacks

Amira Guesmi, Ioan Marius Bilasco, Muhammad Shafique, Ihsen Alouani

Physical adversarial attacks pose a significant practical threat as it deceives deep learning systems operating in the real world by producing prominent and maliciously designed physical perturbations. Emphasizing the evaluation of naturalness is crucial in such attacks, as humans can easily detect…

2024 IEEE International Conference on Image Processing (ICIP), Oct 2024, Abu Dhabi, United Arab Emirates. pp.666-672, ⟨10.1109/ICIP51287.2024.10648014⟩. ⟨hal-04964950⟩