Scientific multi-agent reinforcement learning for wall-models of turbulent flows

21 June 2021

Papers citing "Scientific multi-agent reinforcement learning for wall-models of turbulent flows"

35 / 35 papers shown

Title
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning Paul Fischer Sebastian Kaltenbach Sergey Litvinov Sauro Succi Petros Koumoutsakos AI4CE 31 0 0 19 Apr 2025
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems Luning Sun Xin-Yang Liu Siyan Zhao Aditya Grover Jian-Xun Wang Jayaraman J. Thiagarajan AI4CE 26 0 0 08 Apr 2025
Towards Scientific Intelligence: A Survey of LLM-based Scientific Agents Shuo Ren Pu Jian Zhenjiang Ren Chunlin Leng Can Xie Jiajun Zhang LLMAG AI4CE 64 1 0 31 Mar 2025
Deep reinforcement learning for tracking a moving target in jellyfish-like swimming Yihao Chen Yue Yang 31 0 0 13 Sep 2024
Multi-agent reinforcement learning for the control of three-dimensional Rayleigh-Bénard convection Mirko Conrad Jean Rabault Francisco Alcántara-Ávila Mikael Mortensen Ricardo Vinuesa AI4CE 35 4 0 31 Jul 2024
Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policies N. Botteghi Urban Fasel AI4CE 49 6 0 22 Mar 2024
SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning Nicholas Zolman Urban Fasel J. Nathan Kutz Steven L. Brunton AI4CE 30 11 0 14 Mar 2024
Koopman-Assisted Reinforcement Learning Preston Rozwood Edward Mehrez Ludger Paehler Wen Sun Steven L. Brunton 40 6 0 04 Mar 2024
Closure Discovery for Coarse-Grained Partial Differential Equations Using Grid-based Reinforcement Learning Jan-Philipp von Bassewitz Sebastian Kaltenbach Petros Koumoutsakos AI4CE 38 2 0 01 Feb 2024
Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning Mohamad Abed El Rahman Hammoud Naila Raboudi E. Titi Omar Knio Ibrahim Hoteit AI4CE 30 2 0 01 Jan 2024
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence R. Mojgani Daniel Waelchli Yifei Guan Petros Koumoutsakos P. Hassanzadeh AI4Cl AI4CE 25 5 0 01 Dec 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 27 4 0 30 Oct 2023
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements Esther Lagemann Steven L. Brunton Christian Lagemann 27 4 0 17 Oct 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 40 4 0 28 Sep 2023
Toward Discretization-Consistent Closure Schemes for Large Eddy Simulation Using Reinforcement Learning Andrea Beck Marius Kurz AI4CE 29 17 0 12 Sep 2023
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD R. Balin F. Simini Cooper Simpson Andrew Shao Alessandro Rigazzi M. Ellis Stephen Becker Alireza Doostan John A. Evans K. Jansen AI4CE 29 3 0 22 Jun 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning Daniel Waelchli Pascal Weber Petros Koumoutsakos AI4CE 19 4 0 17 May 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 35 68 0 28 Mar 2023
Predicting the wall-shear stress and wall pressure through convolutional neural networks Arivazhagan G. Balasubramanian L. Guastoni P. Schlatter Hossein Azizpour Ricardo Vinuesa 18 5 0 01 Mar 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 22 104 0 26 Jan 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning Sebastian Peitz J. Stenner V. Chidananda Oliver Wallscheid Steven L. Brunton Kunihiko Taira AI4CE 27 19 0 25 Jan 2023
Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills Di Zhou Michael P. Whitmore K. Griffin H. J. Bae 14 8 0 29 Nov 2022
Emerging trends in machine learning for computational fluid dynamics Ricardo Vinuesa Steve Brunton AI4CE 27 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 36 93 0 20 Oct 2022
Ad Hoc Teamwork in the Presence of Adversaries Ted Fujimoto Samrat Chatterjee A. Ganguly 30 2 0 09 Aug 2022
Deep Learning Closure Models for Large-Eddy Simulation of Flows around Bluff Bodies Justin A. Sirignano J. MacArt AI4CE PINN 35 19 0 06 Aug 2022
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures Zhilu Lai Wei Liu Xudong Jian Kiran Bacsa Limin Sun Eleni Chatzi AI4CE 26 22 0 16 Jul 2022
Large-Scale Direct Numerical Simulations of Turbulence Using GPUs and Modern Fortran Martin Karp D. Massaro Niclas Jansson Alistair Hart Jacob Wahlgren P. Schlatter Stefano Markidis 23 18 0 23 Jun 2022
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations Marius Kurz Philipp Offenhäuser Andrea Beck AI4CE 21 56 0 21 Jun 2022
Multi-Agent Learning of Numerical Methods for Hyperbolic PDEs with Factored Dec-MDP Yiwei Fu Dheeraj Kapilavai E. Way 22 1 0 31 May 2022
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems Marius Kurz Philipp Offenhäuser Dominic Viola Oleksandr Shcherbakov Michael M. Resch Andrea Beck AI4CE 38 22 0 13 May 2022
Remember and Forget Experience Replay for Multi-Agent Reinforcement Learning Pascal Weber Daniel Wälchli Mustafa Zeqiri Petros Koumoutsakos CLL OffRL 18 7 0 24 Mar 2022
Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning E. Way Dheeraj Kapilavai Yiwei Fu Lei Yu AI4CE 20 2 0 16 Mar 2022
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 116 354 0 05 Oct 2021