2 papers
physics.flu-dyn2026
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence
Paul Creusy, Benoît-Joseph Gréa, Antoine Briard +1
Reynolds-averaged Navier-Stokes (RANS) turbulence models are known to perform poorly in predicting the dynamics of Rayleigh-Taylor mixing when turbulence is not fully developed, pa…
q-bio.PE2025
From random walks to epidemic spreading: Compartment model with mortality for vector transmitted diseases
Téo Granger, Thomas M. Michelitsch, Bernard A. Collet +2
We propose a compartmental model for vector-transmitted diseases, such as Malaria and Dengue, spreading over complex networks. Individuals are represented by independent random wal…