Publicaciones

• THESE

Thermal effects in fracture and decohesion phenomena: multiscale models based on Statistical Mechanics, Effets thermiques dans les phénomènes de fracture et de décohésion : modèles multi-échelles basés sur la Mécanique Statistique

Claudia Binetti

Fracture and decohesion phenomena in soft materials result from homogenized effects of complex phenomena of bond breaking and reforming at the molecular scale. Despite their diversity, several material responses in artificial and biological systems are governed by analogous complex transition..., Les phénomènes de fracture et de décohésion dans les matériaux mous résultent de la rupture et du reformage de liaisons à l’échelle moléculaire. Malgré leur diversité, plusieurs réponses des systèmes artificiels et biologiques suivent des transitions analogues, comme le repliement-dépliement des...

Physics [physics]. Centrale Lille Institut, 2025. English. ⟨NNT : ⟩. ⟨tel-05382098⟩

• ART

New photodiodes ready to bridge optical and sub-THz communications

Emilien Peytavit

Simultaneous high-bandwidth and high-optoelectronic conversion efficiency in photodiodes is difficult to achieve. Now, researchers have demonstrated waveguide-integrated photodiodes with over 200 GHz bandwidth, 0.81 A/W responsivity and a bandwidth–efficiency product of 133.5 GHz, thus enabling...

Nature Photonics, 2025, 19 (12), pp.1279-1281. ⟨10.1038/s41566-025-01814-x⟩. ⟨hal-05397309⟩

• ART

A novel embroidered textile RFID adapted rectenna for current rectification and energy transfer

Baptiste Garnier, Anthony Ozuem, Bilel Hafsi, Vladan Koncar, Kamal Lmimouni

In recent years, the rise of smart textiles has enabled the development of numerous electronic textile devices for various applications, as physiological parameters monitoring in the medical field. However, powering these devices in a way that supports increased wearability and mobility remains a...

Emerging Materials Research, 2025, pp.1-7. ⟨10.1680/jemmr.25.00055⟩. ⟨hal-05405262⟩

• HDR

[HDR] Architectures d’apprentissage profond pour l’analyse d’images médicales : de la modélisation à l’aide au diagnostic

Feryal Windal

L’intelligence artificielle, à travers les algorithmes d’apprentissage profond, a transformé le domaine de l’analyse visuelle assistée par ordinateur ces dernières années. Ces algorithmes ont permis d’améliorer significativement les capacités d’extraction et d’interprétation des informations...

Physique [physics]. Université de Lille, 2025. ⟨tel-05393052⟩

• THESE

Design and development of S-parameter standards for high-frequency nanodevices characterization, Conception et développement d'étalons de paramètres S pour la caractérisation des nanodispositifs haute fréquence

Daouda Seck

This thesis arises from work undertaking to establish reliable and traceable methods for S-parameter measurements of planar circuits. The LNE, in partnership with IEMN, is committed to continually meeting the growing needs of the RF and microwave industry, with a particular focus on the..., Cette thèse s’inscrit dans le cadre de travaux visant à établir des méthodes fiables et traçables pour la mesure des paramètres S de circuits planaires. Le Laboratoire National de Métrologie et d’Essai (LNE), en partenariat avec l’Institut d’Électronique, de Microélectronique et de Nanotechnologie...

Physics [physics]. Université de Lille, 2025. English. ⟨NNT : ⟩. ⟨tel-05382124⟩

• COMM

Temperature and doping level effect on silicon thermal conductivity

Juan Carlos Acosta Abanto, Mélanie Brouillard, Raja Sen, Jelena Sjakste, Lorenzo Paulatto, Jérôme Saint-Martin, Nathalie Vast, J.F. Robillard, Nicolas Horny, Séverine Gomés, Pierre-Olivier Chapuis

Phonons 2025 (International Conference on Phonon Scattering in Condensed Matter), Dec 2025, Buenos Aires, Argentina. ⟨hal-05407127⟩

• ART

Integrating perceptual quality analysis and caption-based features for robust deepfake video detection

Hessen Bougueffa Eutamene, Wassim Hamidouche, Mamadou Keita, Abdelmalik Taleb-Ahmed, Abdenour Hadid

Inspired by the benefits of both linguistic representations as well as visual quality analysis, we propose a multimodal framework for deepfake detection with reliable accuracy. Our method acquires low-level perceptual features from frames of video, including contrast, brightness, and sharpness, and...

Computers and Electrical Engineering, 2025, 128 (Part A), pp.110699. ⟨10.1016/j.compeleceng.2025.110699⟩. ⟨hal-05254097⟩

• ART

Non-linear elastic-plastic behavior of the invert glass lithium phosphorous oxynitride (LiPON)

S. Kalnaus, A.S. Westover, G.M. Veith, K.D. Owensby, Wan-Yu Tsai, T. Egami

Micro and nano-scale mechanical behavior of network/ionic glasses is dictated by their composition and the number of constraints per structural unit. From this perspective, the glass LiPON presents the opportunity for enhancement of the microscale ductility due to its rather unconstrained...

Journal of Non-Crystalline Solids, 2025, 669, pp.123793. ⟨10.1016/j.jnoncrysol.2025.123793⟩. ⟨hal-05393613⟩

• ISSUE

The Structure of the Newton Geneva Edition ([1739-1742] 1822), Special Issue

Raffaele Pisano, Paolo Bussotti, Elisa Belotti

Foundations of Science, pp.1-28, 2025, Special Issue. Newton's Principia & Newtonian Mechanics: Foundations, Heritage, Methodology, Editions, Popularization and Nature of Science Teaching, ⟨10.1007/s10699-025-10007-2⟩. ⟨hal-05029955⟩

• ART

A comprehensive review of facial beauty prediction using deep learning techniques

Djamel Eddine Boukhari, Fadi Dornaika, Ali Chemsa, Abdelmalik Taleb-Ahmed

<div xmlns="http://www.tei-c.org/ns/1.0"><p>Facial beauty prediction (FBP) is an emerging area of artificial intelligence (AI) that focuses on the development of models that analyze facial features to assess beauty, based on human perception. This task is particularly...

Engineering Applications of Artificial Intelligence, 2025, 161, ⟨10.1016/j.engappai.2025.112009⟩. ⟨hal-05393552⟩