593 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- J. Íñiguez2 profiles50 · h 57
- M. Guennou19 · h 23
- H. Aramberri18 · h 16
- J. Kreisel2 profiles14 · h 47
- J. Íñiguez-González2 profiles11 · h 7
- L. Bellaiche11 · h 68
- E. Defay2 profiles10 · h 35
- Jordi Cabot2 profiles8 · h 3
- R. Rurali2 profiles8 · h 37
- S. Siebentritt2 profiles8 · h 53
- C. Toulouse2 profiles7 · h 7
- G. Nataf7 · h 16
- University of LuxembourgLU105 papers
- Centre National de la Recherche ScientifiqueFR31 papers
- Institut de Ciència de Materials de BarcelonaES18 papers
- Université Paris-SaclayFR13 papers
- University of Arkansas at FayettevilleUS11 papers
- University of CambridgeGB9 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR8 papers
- Institut NéelFR7 papers
- University of LiègeBE7 papers
- European Synchrotron Radiation FacilityFR6 papers
- Linköping UniversitySE6 papers
- Université Grenoble AlpesFR6 papers
190 papers
Low-code and no-code with BESSER to create and deploy smart web applications
Iván Alfonso, Armen Sulejmani, Aaron Conrardy +1
The increasing demand for web applications containing AI-agents, seen as smart web applications, has prompted the need for new techniques to facilitate their creation. Low-code has…
A Low-Code Approach for the Automatic Personalization of Conversational Agents
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
The rise of Large Language Models (LLMs) has increased the demand for Conversational Agents (CAs) capable of understanding human conversations as part of web applications. While tr…
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection
Yuejun Guo, Qiang Hu, Qiang Tang +1
Vulnerability detection is crucial to protect software security. Nowadays, deep learning (DL) is the most promising technique to automate this detection task, leveraging its superi…
Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie
Iman Peivaste, Salim Belouettar, Francesco Mercuri +15
Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…
Tuning the Fermi surface of MoTe by Nb Doping
Andrew P. Weber, Iñigo Robredo, Philipp Rüssmann +8
Ab initio calculations and angle-resolved photoemission experiments demonstrate that the bulk and surface electronic structure of Weyl semimetal candidate MoTe2 changes significant…
Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
Jessica Plassmann, Nicolas Schuler, Georg von Freymann +1
Shearography is a non-destructive testing method for detecting subsurface defects, offering high sensitivity and full-field inspection capabilities. However, its industrial adoptio…
Ask Safely: Privacy-Aware LLM Query Generation for Knowledge Graphs
Mauro Dalle Lucca Tosi, Jordi Cabot
Large Language Models (LLMs) are increasingly used to query knowledge graphs (KGs) due to their strong semantic understanding and extrapolation capabilities compared to traditional…
Flux-modulated tunable interaction regimes in two strongly nonlinear oscillators
J. D. Koenig, G. Barbieri, F. Fani Sani +3
The ability to efficiently simulate a variety of interacting quantum systems on a single device is an overarching goal for digital and analog quantum simulators. In circuit quantum…
Spatial phase coherence in femtosecond coherent Raman scattering
Ali Hosseinnia, Michele Marrocco, Francesco Vergari +8
Conventional femtosecond coherent laser spectroscopy predominantly focuses on the temporal phase coherence through time- or frequency-resolved methods. In this work, we suggest an…
Real-Time Kinematic Positioning and Optical See-Through Head-Mounted Display for Outdoor Tracking: Hybrid System and Preliminary Assessment
Muhannad Ismael, Maël Cornil
This paper presents an outdoor tracking system using Real-Time Kinematic (RTK) positioning and Optical See-Through Head Mounted Display(s) (OST-HMD(s)) in urban areas where the acc…
User-Centric Comparison of 5G NTN and DVB-S2/RCS2 Using OpenAirInterface and OpenSAND
Sumit Kumar, Juan Carlos Estrada-Jimenez, Ion Turcanu
The integration of satellite networks into next-generation mobile communication systems has gained considerable momentum with the advent of 5G Non-Terrestrial Networks (5G-NTN). Si…
Predicted decline in common bird and butterfly species despite conservation policy scenarios in Europe
Stanislas Rigal, Maxime Lenormand, Léa Tardieu +33
In response to increasing threats to biodiversity, conservation objectives have been set to halt biodiversity decline by reducing direct anthropogenic drivers. However, the potenti…
An underdog story: Re-emergence of a polar instability at high pressure in KNbO3
Mohamad Baker Shoker, Sitaram Ramakrishnan, Boris Croes +12
Ferroelectricity in perovskites is known to be suppressed by a moderate hydrostatic pressure. The notion that a polar instability should reappear in a higher pressure regime is wel…
Can LLMs effectively provide game-theoretic-based scenarios for cybersecurity?
Daniele Proverbio, Alessio Buscemi, Alessandro Di Stefano +3
Game theory has long served as a foundational tool in cybersecurity to test, predict, and design strategic interactions between attackers and defenders. The recent advent of Large…
Extrinsic nature of the polarization in hafnia ferroelectrics
Binayak Mukherjee, Natalya S. Fedorova, Jorge Íñiguez-González
Hafnia and related fluorites defy our understanding of ferroelectricity, even if we restrict ourselves to the intrinsic properties of ideal crystals. Here we focus on a critical pu…
Guidelines for the optimization of hafnia-based ferroelectrics through superlattice engineering
Johanna van Gent, Binayak Mukherjee, Ewout van der Veer +5
Hafnia-based ferroelectrics are revolutionizing the data storage industry and the field of ferroelectrics, with improved materials and devices being reported monthly. However, full…
Irreversibility in scalar active turbulence: The role of topological defects
Byjesh N. Radhakrishnan, Francesco Serafin, Thomas L. Schmidt +1
In many active systems, swimmers collectively stir the surrounding fluid to stabilize some self-sustained vortices. The resulting nonequilibrium state is often referred to as activ…
Integrating AIs With Body Tracking Technology for Human Behaviour Analysis: Challenges and Opportunities
Adrien Coppens, Valérie Maquil
The automated analysis of human behaviour provides many opportunities for the creation of interactive systems and the post-experiment investigations for user studies. Commodity dep…
Sodium induced beneficial effects in wide bandgap Cu(In,Ga)S2 solar cell with 15.7% efficiency
Arivazhagan Valluvar Oli, Kulwinder Kaur, Michele Melchiorre +10
This study underscores the pivotal role of sodium (Na) supply in optimizing the optoelectronic properties of wide bandgap (~1.6 eV) Cu(In,Ga)S2 (CIGS) thin film absorbers for high…
Towards Digital Twin in Flood Forecasting with Data Assimilation Satellite Earth Observations -- A Proof-of-Concept in the Alzette Catchment
Thanh Huy Nguyen, Sukriti Bhattacharya, Jefferson S. Wong +4
Floods pose significant risks to human lives, infrastructure, and the environment. Timely and accurate flood forecasting plays a pivotal role in mitigating these risks. This study…
Sub-micron Cu(In,Ga)Se2 solar cell with efficiency of 18.2% enabled by a hole transport layer
Taowen Wang, Longfei Song, Saeed Bayat +6
Reducing the thickness of Cu(In,Ga)Se2 solar cells is a key objective in order to reduce production cost and to improve sustainability. The major challenge for sub-micron Cu(In,Ga)…
Towards a unified user modeling language for engineering human centered AI systems
Aaron Conrardy, Alfredo Capozucca, Jordi Cabot
In today's digital society, personalization has become a crucial aspect of software applications, significantly impacting user experience and engagement. A new wave of intelligent…
Tunable and Persistent Macroscopic Polarization in Nominally Centrosymmetric Defective Oxides
D. -S. Park, N. Pryds, N. Gauquelin +8
Introducing symmetry breaking in materials enables the emergence of functionalities. This can be microscopically and macroscopically driven by applying external stimuli such as mec…
Assimilation of SWOT Altimetry Data for Riverine Flood Reanalysis: From Synthetic to Real Data
Quentin Bonassies, Thanh Huy Nguyen, Ludovic Cassan +6
Floods are one of the most common and devastating natural disasters worldwide. The contribution of remote sensing is important for reducing the impact of flooding both during the e…