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H. Bae

6 papers hereh-index 341 citations13 works total

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

author position
  • middle author1
  • last author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn4
  • cs.CE1
  • cs.LG1
same name
  • H. Bae — 79 papers, h 10
  • H. Bae — 14 papers
  • H. Bae — 8 papers, h 24
  • H. Bae — 3 papers, h 1
  • H. Bae — 2 papers, h 8
  • H. Bae — 2 papers, h 1

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-dyn2025

Consistency requirement of data-driven subgrid-scale modeling in large-eddy simulation

Xinyi Huang, Sze Chai Leung, H. Jane Bae

Data-driven subgrid-scale (SGS) modeling in the large-eddy simulations (LES) suffers from the inconsistency between the \textit{a priori} tests and the a posteriori tests, which ma…

physics.flu-dyn2025

Effect of subgrid-scale anisotropy on wall-modeled large-eddy simulation of turbulent flow with smooth-body separation

Di Zhou, H. Jane Bae

We examine the role of anisotropic subgrid-scale (SGS) stress in wall-modeled large-eddy simulation (WMLES) of flow over a spanwise-uniform Gaussian-shaped bump, with emphasis on p…

physics.flu-dyn2023

Sensitivity analysis of wall-modeled large-eddy simulation for separated turbulent flow

Di Zhou, H. Jane Bae

In this study, we conduct a parametric analysis to evaluate the sensitivities of wall-modeled large-eddy simulation (LES) with respect to subgrid-scale (SGS) models, mesh resolutio…

physics.flu-dyn2023

Wall Modeling of Turbulent Flows with Varying Pressure Gradients Using Multi-Agent Reinforcement Learning

Di Zhou, H. Jane Bae

We propose a framework for developing wall models for large-eddy simulation that is able to capture pressure-gradient effects using multi-agent reinforcement learning. Within this…

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