Tootfinder

Enhanced dispersion of active microswimmers in confined flows
Marc Lagoin (LOMA), Juliette Lacherez (LOMA), Guirec de Tournemire (LOMA), Ahmad Badr (LOMA), Yacine Amarouchene (LOMA), Antoine Allard (LOMA, UB), Thomas Salez (LOMA)
https://arxiv.org/abs/2507.08369

Enhanced dispersion of active microswimmers in confined flows
In the presence of a laminar shear flow, the diffusion of passive colloidal particles is enhanced in the direction parallel to the flow. This classical phenomenon is known as Taylor-Aris dispersion. Besides, microorganisms, such as active microswimmers, exhibit an effective diffusive behavior at long times. Combining the two ingredients above, a natural question then emerges on how the effective diffusion of active microswimmers is altered in shear flows - a widespread situation in natural envi…

🇺🇦 #NowPlaying on BBCRadio3's #SundayMorning
Jean‐Philippe Rameau, Antoine Gautier de Montdorge, Marc Minkowski & Les Musiciens du Louvre:
🎵 Les fêtes d'Hébé (Act II: Air tendre)
#JeanPhilippeRameau #AntoineGautierdeMontdorge #MarcMinkowski #LesMusiciensduLouvre

Radical scaling: beyond our feet and fingers
Marc-Antoine Fardin, Mathieu Hautefeuille, Vivek Sharma
https://arxiv.org/abs/2507.02631 https://

Radical scaling: beyond our feet and fingers
Scaling laws arise and are eulogized across disciplines from natural to social sciences for providing pithy, quantitative, `scale-free', and `universal' power law relationships between two variables. On a log-log plot, the power laws display as straight lines, with a slope set by the exponent of the scaling law. In practice, a scaling relationship works only for a limited range, bookended by crossovers to other scaling laws. Leading with Taylor's oft-cited scaling law for the blast radius of an…

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
Marc-Antoine Coulombe, Maxime Berger, Antoine Lesage-Landry
https://arxiv.org/abs/2506.19178

Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
The growing reliance on power electronics introduces new challenges requiring detailed time-domain analyses with fast and accurate circuit simulation tools. Currently, commercial time-domain simulation software are mainly relying on physics-based methods to simulate power electronics. Recent work showed that data-driven and physics-informed learning methods can increase simulation speed with limited compromise on accuracy, but many challenges remain before deployment in commercial tools can be …

Parametric models of core-helium-burning stars: structural glitches near the core
Massimiliano Matteuzzi, Ga\"el Buldgen, Marc-Antoine Dupret, Andrea Miglio, Lucy Panier, Walter E. van Rossem
https://arxiv.org/abs/2506.18980

Parametric models of core-helium-burning stars: structural glitches near the core
Understanding the internal structure of core helium burning (CHeB) stars is crucial for evaluating transport processes in nuclear-burning regions, constructing accurate stellar population models, and assessing nucleosynthesis processes that impact the chemical evolution of galaxies. While asteroseismic observations have recently enabled detailed probing of CHeB star interiors, seismic signatures related to structural variations at the boundary between the convective and radiative core, and chem…