The activities of the department are grouped around Fluid Mechanics, Mass and Heat Transfer and Energetics. We conduct research of a generally fundamental nature, with applications in the energy, transport, health and environment sectors.
Approach and perspective
The approach of the Mechanics-Energetics department is at the interface between computer science, physics and applied mathematics.
We wish to maintain a balance between interdependent activities:
understanding the fundamental phenomena of turbulent fluid mechanics,
tackling complex multiphysics problems coupled at large scales,
leveraging our physical knowledge while considering data as an inherent part of modeling, experiments and simulations.
In this context, we are very open to recent developments in machine learning, which offer a powerful information processing framework that can augment our current lines of research with broad-spectrum applications in the energy, transportation, health, and environmental sectors.
The Mechanics-Energetics Department offers original and multidisciplinary research thanks to the expertise of some twenty permanent staff, researchers, teacher-researchers and engineers, organized into two complementary teams: DATAFLOT (DAta science, TrAnsition, FLuid instabiLity, contrOl & Turbulence) relying on data-augmented modeling and artificial intelligence, and studying fluid dynamics, instabilities and turbulence, and COMET (COuplages MultiphysiquEs et Transferts) focusing on the understanding of complex coupled fluid phenomena, involved in energy conversion and storage, heat transfers as well as energy efficiency optimization.
Adam Lion-Bouton, Agata Savary, Jean-Yves Antoine. A MWE lexicon formalism optimised for observational adequacy. Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023), May 2023, Dubrovnik, Slovenia. pp.121-130, ⟨10.18653/v1/2023.mwe-1.16⟩. ⟨hal-04323149⟩
Agata Savary, Cherifa Ben Khelil, Carlos Ramisch, Voula Giouli, Verginica Barbu Mititelu, et al.. PARSEME corpus release 1.3. Proceedings of the 19th Workshop on Multiword Expressions (MWE 2023), May 2023, Dubrovnik, Slovenia. pp.24-35, ⟨10.18653/v1/2023.mwe-1.6⟩. ⟨hal-04323219⟩
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Enhancing Data-Assimilation in CFD using Graph Neural Networks. 37th Conference on Neural Information Processing Systems (Neurips 2023), Dec 2023, La Nouvelle Orléans (LA), United States. ⟨hal-04319697⟩
Theo Deschamps-Berger, Lori Lamel, Laurence Devillers. Investigating Transformer Encoders and Fusion Strategies for Speech Emotion Recognition in Emergency Call Center Conversations.. 25th ACM International Conference on Multimodal Interaction (ICMI), Nov 2022, Bengaluru, France. pp.144-153, ⟨10.1145/3536220.3558038⟩. ⟨hal-03878313⟩
Ioana Vasilescu, Tubaro Yaru Wu, Lamel Lori, Torres Juana, Paola Cierpe. A PRELIMINARY INVESTIGATION OF VOCALIC REALIZATIONS OF HISPANIC MICRO-WORKERS FROM LATIN AMERICA. 20th International Congress of Phonetic Sciences, Aug 2023, Prague, Czech Republic. ⟨hal-04312441⟩