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A probabilistic, data-driven closure model for RANS simulations with
aleatoric, model uncertainty

v1v2 (latest)

A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty

Journal of Computational Physics (JCP), 2023

5 July 2023

P. Koutsourelakis

ArXiv (abs)PDF HTML Github (1★)

Papers citing "A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty"

5 / 5 papers shown

Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator

Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural OperatorJournal of Computational Physics (JCP), 2024

449

16

0

06 Aug 2024

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization

Tribhuvanesh Orekondy

312

1

0

06 Jun 2024

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with
Denoising Diffusion Probabilistic Models

Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic ModelsAIAA Journal (AIAA J.), 2023

340

47

0

08 Dec 2023

From concrete mixture to structural design -- a holistic optimization
procedure in the presence of uncertainties

From concrete mixture to structural design -- a holistic optimization procedure in the presence of uncertainties

P. Koutsourelakis

250

9

0

06 Dec 2023

Multi-fidelity Constrained Optimization for Stochastic Black Box
Simulators

Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators

P. Koutsourelakis

282

6

0

25 Nov 2023

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