Publications

Engineering Sciences

MATERIAL LOSSES AND HEAT EXCHANGES: A UNIFIED THERMODYNAMIC APPROACH TO COOLING EFFICIENCY

To achieve highly efficient cooling devices using caloric materials, it is necessary to engineer a system where electric/magnetic field and the heat transfer are fully mastered. The active substance, the source of the field and the thermal switches…

Morgan Almanza, Martino Lobue

Thermag XI - 2026

Optimization and Control

Optimal sizing based on environmental and economic life-cycle criteria applied to a static DC circuit breaker

The sustainable design of power electronic systems requires an integrated approach that simultaneously considers environmental and economic dimensions. This paper proposes an eco-design methodology to support decision-making for the sustainable…

Thomas Lesaulnier, Gurvan Jodin, Roman Le Goff Latimier, Nicolas Degrenne, Hamid Ben Ahmed

Cleaner Environmental Systems - 2026

Materials

Fast estimation of the influence of a tensile plastic strain on the magnetic behavior of electrical steels

Residual stress, hardening, and defects introduced during the cutting process lead to a global degradation of the magnetic properties of electrical steels. Modeling these phenomena requires preliminary measurements beginning by characterizing the…

Jeanne Le Soudeer, Olivier de la Barrière, Yoann Guilhem, Adrien Gilson, Olivier Hubert, Frédéric Mazaleyrat

Journal of Magnetism and Magnetic Materials - 2026

Statistics

Robust Covariance Matrix Estimation for Uniform Rectangular Array

Covariance matrix estimation is a fundamental component of adaptive signal processing methods. Motivated by the data structure brought by uniform rectangular arrays, we address the problem of block Toeplitz structure covariance estimation in non…

A. Ibrahim, C. Ren, I. Hinostroza, A. Breloy, M.N. El Korso

ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - 2026

Signal and Image processing

ExposNet: A Deep Learning Framework for EMF Exposure Prediction in Complex Urban Environments

The prediction of the electric field (E-field) plays a crucial role in monitoring radiofrequency electromagnetic field (RF-EMF) exposure induced by cellular networks. In this paper, a deep learning framework is proposed to predict E-field levels in…

Yarui Zhang, Shanshan Wang, Joe Wiart

IEEE Transactions on Machine Learning in Communications and Networking - 2026

History

La révolution politique d’Einstein

Pourquoi le socialisme ? propose la traduction de l’article qu’Albert Einstein écrivit en 1949 – et qui fut publié aux États-Unis par la Monthly Review – pour expliquer son adhésion aux idéaux du socialisme. À l’aide des deux essais qui accompagnent…

Martino Lobue

En attendant Nadeau - 2026

Life Sciences

Unveiling historical hydronynamic cues as a sensory landscape for aquatic navigation tasks

Understanding how aquatic animals perceive and respond to hydrodynamic cues requires experimental tools capable of resolving low-amplitude pressure fluctuations over biologically relevant spatial and temporal scales. Recent advances in embedded…

James Herbert-Read, Dixia Fan, Gurvan Jodin, Nadia Maria Hamilton, Bastien Lagneaux, Li Ang, A Liang, Hannah Mac Gregor, Thomas Omarini, Corentin Porcon, Florence Razan, Boai Sun, Siming Wang, Yi Zhu

25th HFSP Awardees Meeting - 2026

Engineering Sciences

Phy2-ExposNet: A Physics-Informed Neural Network for Urban EMF Exposure Mapping

Accurate electromagnetic field (EMF) exposure mapping is critical for wireless network planning, environmental monitoring, and the deployment of next generation communication systems. The mapping results can be converted into the form of a radio map…

Shuangning Li, Yarui Zhang, Shanshan Wang, Joe Wiart

IEEE Open Journal of Antennas and Propagation - 2026

Quantitative Finance

Synthèse ESCo Terres rares. Vers une utilisation responsable des terres rares tout au long de leur cycle de vie : quelles perspectives en termes de sobriété, recyclage et mode de production ?

Rare earths are metals that are of crucial interest for France. Their supply is a vital issue on many levels - industrial, technological, geopolitical, economic, environmental and health-related. The Rare Earths Collective Scientific Assessment …

Mpes Cnrs, Pascale Ricard, Clement Levard, Romain J. Garcier, Simon Beyne, Bénédicte Cenki, Kevin Bernot, Marie Emilie Forget, Olga P. Fuentes, Laure Giamberini, Emilie Janots, Brice Laurent, Gilles Lhuilier, Frédéric Mazaleyrat, Stéphane Pellet-Rostaing, Guido Sonnemann, Eric D. van Hullebusch, Fanny Verrax, Alexandre Violle

Material chemistry

États généraux des données du patrimoine: rapport final

The General Survey of Heritage Data is a study launched by the ESPADON EquipEx to assess the data practices of various stakeholders in the field of Heritage Science, as well as their needs, with a view to developing a digital ecosystem that will…

Romain Thomas, Alexandra Stoleru, Violette Abergel, Vincent Detalle, Olivier Malavergne, Rémi Petitcol, Ruven Pillay, Emmanuel Poirault, Jean-Marc Vallet