Publicaciones

• Article dans une revue

Electronic and Thermoelectric Properties of Molecular Junctions Incorporating Organometallic Complexes: Implications for Thermoelectric Energy Conversion

Joseane Santos Almeida, Sergio Gonzalez Casal, Hassan Al Sabea, Valentin Barth, Gautam Micra, Vincent Delmas, David Guérin, Olivier Galangau, Tiark Tiwary, Thierry Roisnel, Vincent Dorcet, Lucie Norel, Colin van Dyck, Elke Scheer, Dominique Vuillaume, Jérôme Cornil, Stéphane Rigaut, Karine Costuas

The electronic and thermoelectric properties of molecular junctions formed from iron and ruthenium metal-acetylide were studied using complementary experimental techniques and quantum chemical simulations. We performed physical characterizations of single-molecule and self-assembled monolayer...

ACS Applied Nano Materials, 2025, 8, pp.14261-14280. ⟨10.1021/acsanm.5c02362⟩. ⟨hal-05015058⟩

• Autre publication scientifique

Advances in Historical Studies [Editor in Chief 14/5]

Raffaele Pisano

2025. ⟨hal-05480620⟩

• Communication dans un congrès

Supercooling droplets on environmentally-friendly biomimetic anti-icing surfaces

Florian Bas, Vincent Thomy, Yannick Coffinier, Maude Jimenez

DROPLETS, Jul 2025, Liège (Belgique), Belgium. ⟨hal-05176171⟩

• Proceedings/Recueil des communications

A 26.7 TOPS/W Multiplier-Less Digital In-Memory Computing Macro with low-cost Multi-Layer Inference in 28nm FDSOI for edge AI

Antoine Gautier, Soumya Rank, Benoit Larras, Antoine Frappé

2025 IEEE 7th International Conference on Artificial Intelligence Circuits and Systems (AICAS), Apr 2025, Bordeaux, France. IEEE, pp.1-5, 2025, ⟨10.1109/AICAS64808.2025.11173154⟩. ⟨hal-05549829⟩

• Communication dans un congrès

Microstreaming pour la propulsion de micronageurs artificiels acoustiques

Sarah Cleve, Jules Ghesquiere, Saeid Mollaei, Gustav Modler, Henrik Bruus, Michael Baudoin, Olivier Bou Matar

Le développement de micro-nageurs artificiels a suscité un intérêt croissant durant ces dernières années. En effet, un nageur entièrement manœuvrable permettrait diverses applications <latex>\emphin vitro</latex> et même <latex>\emphin vivo</latex> telles que des thérapies...

CFA 2025 - 17e Congrès Français d'Acoustique, Société Française d'Acoustique (SFA), Apr 2025, Paris, France. ⟨hal-05364509⟩

• Article dans une revue

Polymer-Based Microstructured Photonic Membrane for Passive Heating Textiles

Mohamed Boutghatin, Salim Assaf, Pascal Tilmant, Parastesh Pirasteh-Charrier, Bahram Djafari-Rouhani, Petr Janíček, Petr Nemec, Joël Charrier, V. Thomy, Yan Pennec, Michèle Carette

The development of textiles for personal thermal management is one of the most promising technological solutions to reduce the energy consumption in heating, ventilation, and air conditioning (HVAC) systems. These technologies offer a potentially low-cost solution that can help to limit greenhouse...

ACS Omega, 2025, 10 (36), pp.40922-40929. ⟨10.1021/acsomega.5c02006⟩. ⟨hal-05294684⟩

• Autre publication scientifique

Advances in Historical Studies [Editor in Chief 14/2]

Raffaele Pisano

2025. ⟨hal-05480618⟩

• Pré-publication, Document de travail

PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition

Ibtissam Saadi, Abdenour Hadid, Douglas Cunningham, Abdelmalik Taleb-Ahmed, Yassin El Hillali

Vision-Language Models (VLMs) like CLIP offer promising solutions for Dynamic Facial Expression Recognition (DFER) but face challenges such as inefficient full fine-tuning, high complexity, and poor alignment between textual and visual representations. Additionally, existing methods struggle with...

2025. ⟨hal-05033150⟩

• Article dans une revue

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfO_x ReRAM Devices

Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia

Analog in-memory computing is an emerging paradigm designed to efficiently accelerate deep neural network workloads. Recent advancements have focused on either inference or training acceleration. However, a unified analog in-memory technology platform-capable of on-chip training, weight retention,...

• Article dans une revue

Boosting hyperspectral image classification with Gate-Shift-Fuse mechanisms in a novel CNN-Transformer approach

Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Abdelmalik Taleb-Ahmed

Hyperspectral Image (HSI) classification categorizes every pixel sample into distinct land-cover types. While CNN-based methods have demonstrated significant advances in feature representation, they often struggle with extracting deep features. On the other hand, transformer models excel in...

Computers and Electronics in Agriculture, 2025, 237, Part A, pp.110489. ⟨10.1016/j.compag.2025.110489⟩. ⟨hal-05123205⟩