3 papers
physics.flu-dyn2025
A High-Order Immersed Boundary Method for Fluid-Structure Interaction Problems
Yingjie Xia, Stefano Colombo, David Huergo +3
Accurate and efficient simulation of fluid-structure interaction (FSI) problems remains a central challenge in computational physics. High-order discontinuous Galerkin (DG) methods…
physics.flu-dyn2025
An Empirical Wall-Pressure Spectrum Model for Aeroacoustic Predictions Based on Symbolic Regression
Laura Botero Bolívar, David Huergo, Fernanda L. dos Santos +3
Fast-turn around methods to predict airfoil trailing-edge noise are crucial for incorporating noise limitations into design optimization loops of several applications. Among these…
cs.LG2023
A reinforcement learning strategy for p-adaptation in high order solvers
David Huergo, Gonzalo Rubio, Esteban Ferrer
Reinforcement learning (RL) has emerged as a promising approach to automating decision processes. This paper explores the application of RL techniques to optimise the polynomial or…