A high-fidelity numerical database for free-stream-turbulence-induced transition under varying pressure gradients

arXiv:2606.20139 · physics.flu-dyn · Submitted 2026-06-18 · Read on arXiv

physics.flu-dyn

Submitted: 2026-06-18

Updated: 2026-10-20

Terminology

• Fidelity — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Calibration — 1× in this paper · explained in 9 episodes

Related papers

• Fluids You Can Trust: Property-Preserving Operator Learning for Incompressible Flows
• A neural operator framework for data-driven discovery of stability and receptivity in physical systems
• Physics Foundation Models for Efficient Control of Fluid Flows
• Neptuna: A Comprehensive Machine Learning Framework for Benchmarking Complex Multiphase Flows
• Conditional Flow Matching for Generation of 3D Multi-variable Instantaneous Urban Microclimate Fields
• A mass invariant in a compressible turbulent medium