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researcher

Y. Ling

2 papers hereh-index 446 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn2
same name
  • Y. Ling — 5 papers, h 18
  • Y. Ling — 5 papers, h 5
  • Y. Ling — 3 papers, h 3
  • Y. Ling — 3 papers, h 8
  • Y. Ling — 2 papers, h 7
  • Y. Ling — 1 paper, h 16

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing physics.flu-dynShow all

4 papers · 1 filter

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 (LE…

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…

physics.flu-dyn2024

Building-block flow model for computational fluids

Gonzalo Arranz, Yuenong Ling, Sam Costa +2

We introduce a closure model for wall-modeled large-eddy simulation (WMLES), referred to as the Building-block Flow Model (BFM). The foundation of the model rests on the premise th…

physics.flu-dyn2023★ 1 cited

Information-theoretic causality and applications to turbulence: energy cascade and inner/outer layer interactions

Adrián Lozano-Durán, Gonzalo Arranz, Yuenong Ling

We introduce an information-theoretic method for quantifying causality in chaotic systems. The approach, referred to as IT-causality, quantifies causality by measuring the informat…

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