Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural
Stochastic Differential Equations

Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations

1 June 2023

Anudhyan Boral

Leonardo Zepeda-Núnez

Yi-fan Chen

John R. Anderson

Papers citing "Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations"

9 / 9 papers shown

Title
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 37 0 0 12 Jan 2025
Efficient, Accurate and Stable Gradients for Neural ODEs Sam McCallum James Foster 32 4 0 15 Oct 2024
Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators Chuwei Wang Julius Berner Zongyi Li Di Zhou Jiayun Wang Jane Bae Anima Anandkumar AI4CE 28 1 0 09 Aug 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núnez 23 11 0 06 Feb 2024
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models Qiang Liu Nils Thuerey DiffM AI4CE 10 8 0 08 Dec 2023
Attention-enhanced neural differential equations for physics-informed deep learning of ion transport Danyal Rehman J. Lienhard 6 2 0 05 Dec 2023
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 22 1 0 17 Nov 2022
A Perspective on Machine Learning Methods in Turbulence Modelling Andrea Beck Marius Kurz AI4CE 37 101 0 23 Oct 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,272 0 18 Oct 2020