Towards extraction of orthogonal and parsimonious non-linear modes from
turbulent flows

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

3 September 2021

Hamidreza Eivazi

S. L. C. Martínez

Ricardo Vinuesa

Papers citing "Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows"

14 / 14 papers shown

Title
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations Hamidreza Eivazi Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 43 0 0 27 Mar 2025
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 49 4 0 06 Jun 2024
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 36 5 0 25 May 2023
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 13 74 0 07 Apr 2023
SpecXAI -- Spectral interpretability of Deep Learning Models Stefan Druc Peter Wooldridge A. Krishnamurthy S. Sarkar Aditya Balu 25 0 0 20 Feb 2023
A Denoising Diffusion Model for Fluid Field Prediction Gefan Yang Stefan Sommer DiffM AI4CE 30 27 0 27 Jan 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 14 104 0 26 Jan 2023
Emerging trends in machine learning for computational fluid dynamics Ricardo Vinuesa Steve Brunton AI4CE 24 14 0 28 Nov 2022
Improving aircraft performance using machine learning: a review S. L. Clainche E. Ferrer Sam Gibson Elisabeth Cross A. Parente Ricardo Vinuesa AI4CE 25 93 0 20 Oct 2022
Physics-aware Reduced-order Modeling of Transonic Flow via $β$ -Variational Autoencoder Yu-Eop Kang Sunwoong Yang K. Yee DRL AI4CE 16 25 0 02 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 22 28 0 01 May 2022
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 25 152 0 09 Oct 2021
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 220 2,287 0 18 Oct 2020