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

5 July 2023

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

5 / 5 papers shown

Title
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization F. V. Massoli Tim Bakker Thomas M. Hehn Tribhuvanesh Orekondy Arash Behboodi 55 0 0 06 Jun 2024
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models Qiang Liu Nils Thuerey DiffM AI4CE 21 9 0 08 Dec 2023
From concrete mixture to structural design -- a holistic optimization procedure in the presence of uncertainties A. Agrawal Erik Tamsen P. Koutsourelakis Joerg F. Unger 28 3 0 06 Dec 2023
Multi-fidelity Constrained Optimization for Stochastic Black Box Simulators A. Agrawal Kislaya Ravi P. Koutsourelakis H. Bungartz 43 5 0 25 Nov 2023