Multiscale Simulations of Complex Systems by Learning their Effective
Dynamics

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Multiscale Simulations of Complex Systems by Learning their Effective Dynamics

24 June 2020

Pantelis R. Vlachas

Petros Koumoutsakos

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Papers citing "Multiscale Simulations of Complex Systems by Learning their Effective Dynamics"

16 / 66 papers shown

Title
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics Manuela Brenner Florian Hess G. Koppe Daniel Durstewitz 291 11 0 15 Dec 2022
Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data Hyemin Gu Panagiota Birmpa Yannis Pantazis Luc Rey-Bellet Markos A. Katsoulakis 93 2 0 31 Oct 2022
Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation R. Parthipan Damon J. Wischik 78 3 0 08 Oct 2022
Prospects of federated machine learning in fluid dynamics Omer San Suraj Pawar Adil Rasheed FedML AI4CE 52 4 0 15 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 63 23 0 16 Jul 2022
Data-driven Control of Agent-based Models: an Equation/Variable-free Machine Learning Approach Dimitrios G. Patsatzis Lucia Russo Ioannis G. Kevrekidis Constantinos Siettos 59 21 0 12 Jul 2022
Decentralized digital twins of complex dynamical systems Omer San Suraj Pawar Adil Rasheed AI4CE 86 11 0 07 Jul 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu Takashi Maruyama J. Leskovec AI4CE 101 34 0 15 Jun 2022
Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data Seungjoon Lee Y. M. Psarellis Constantinos Siettos Ioannis G. Kevrekidis AI4CE 62 28 0 26 May 2022
Learning effective dynamics from data-driven stochastic systems Lingyu Feng Ting Gao Min Dai Jinqiao Duan SyDa AI4CE 144 4 0 09 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 77 29 0 01 May 2022
Using Probabilistic Machine Learning to Better Model Temporal Patterns in Parameterizations: a case study with the Lorenz 96 model R. Parthipan H. Christensen J. S. Hosking Damon J. Wischik AI4CE 64 8 0 28 Mar 2022
CD-ROM: Complemented Deep-Reduced Order Model Emmanuel Menier M. Bucci Mouadh Yagoubi L. Mathelin Marc Schoenauer 90 9 0 22 Feb 2022
Constructing coarse-scale bifurcation diagrams from spatio-temporal observations of microscopic simulations: A parsimonious machine learning approach Evangelos Galaris Gianluca Fabiani I. Gallos Ioannis G. Kevrekidis Constantinos Siettos AI4CE 102 42 0 31 Jan 2022
Super-resolution in Molecular Dynamics Trajectory Reconstruction with Bi-Directional Neural Networks Ludwig Winkler Klaus-Robert Muller H. E. Sauceda AI4CE 44 10 0 02 Jan 2022
Data-driven discovery of intrinsic dynamics D. Floryan M. Graham AI4CE 183 77 0 12 Aug 2021