2 papers
physics.flu-dyn2026
Numerically Consistent Non-Boussinesq Subgrid-scale Stress Model with Enhanced Convergence
Yuenong Ling, Adrián Lozano-Durán
We extend the data-assimilation approach of Ling and Lozano-Durán (AIAA 2025-1280) to develop machine-learning-based subgrid-scale stress (SGS) models for large-eddy simulation (L…
physics.flu-dyn2025
General-purpose Data-driven Wall Model for Low-speed Flows Part I: Baseline Model
Yuenong Ling, Imran Hayat, Konrad Goc +1
We present a general-purpose wall model for large-eddy simulation. The model builds on the building-block flow principle, leveraging essential physics from simple flows to train a…