3 papers
physics.flu-dyn2026
Multi-fidelity graph-based neural networks architectures to learn Navier-Stokes solutions on non-parametrized 2D domains
Francesco Songia, Raoul Sallé de Chou, Hugues Talbot +1
We propose a graph-based, multi-fidelity learning framework for the prediction of stationary Navier--Stokes solutions in non-parametrized two-dimensional geometries. The method is…
cs.MA2023
HMAS: enabling seamless collaboration between drones, quadruped robots, and human operators with efficient spatial awareness
Amaury Saint-Jore, Ye-Qiong Song, Laurent Ciarletta
Heterogeneous robots equipped with multi-modal sensors (e.g., UAV, wheeled and legged terrestrial robots) provide rich and complementary functions that may help human operators to…
math.AP2006
Decay Estimates for a Viscous Hamilton-Jacobi Equation with Homogenious Dirichet Boundary Conditions
Said Benachour, Simona Dabuleanu-Hapca, Philippe Laurençot
Global classical solutions to the viscous Hamilton-Jacobi equation with homogenious Dirichlet boundary conditions are shown to converge to zero at the same speed as the linear heat…