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Multiscale Simulations of Complex Systems by Learning their Effective Dynamics

24 June 2020

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

50 / 66 papers shown

Title
A Survey of Physics-Informed AI for Complex Urban Systems En Xu Huandong Wang Yunke Zhang Sibo Li Yinzhou Tang ... Yuming Lin Yuan Yuan Xiaochen Fan Jingtao Ding Yong Li AI4CE 12 0 0 09 Jun 2025
Reinforcement Learning Closures for Underresolved Partial Differential Equations using Synthetic Data Lothar Heimbach Sebastian Kaltenbach Petr Karnakov Francis J. Alexander Petros Koumoutsakos AI4CE 128 0 0 16 May 2025
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan Rui Zhang Qi Wang Yang Liu Hao Sun PINN 97 1 0 03 May 2025
Generative Latent Neural PDE Solver using Flow Matching Zijie Li Anthony Zhou Amir Barati Farimani DiffM AI4CE 137 2 0 28 Mar 2025
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction Han Wan Qi Wang Hao Sun Hao Sun AI4CE 111 1 0 13 Mar 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning Ruikun Li Huandong Wang Qingmin Liao Yong Li 55 2 0 24 Feb 2025
Connecting the geometry and dynamics of many-body complex systems with message passing neural operators N. Gabriel N. Johnson George Em Karniadakis AI4CE 113 0 0 21 Feb 2025
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 65 5 0 09 Nov 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data Eric Volkmann Alena Brändle Daniel Durstewitz G. Koppe AI4CE 61 2 0 05 Nov 2024
Inferring stability properties of chaotic systems on autoencoders' latent spaces Elise Özalp Luca Magri 71 1 0 23 Oct 2024
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems Bocheng Zeng Qi Wang Ming Yan Yang Liu Ruizhi Chengze Yi Zhang Hongsheng Liu Zidong Wang Hao Sun AI4CE 223 4 0 02 Oct 2024
Stability analysis of chaotic systems in latent spaces Elise Özalp Luca Magri 89 3 0 01 Oct 2024
Shape-informed surrogate models based on signed distance function domain encoding L. Zhang S. Pagani Jun Zhang Francesco Regazzoni AI4CE 91 1 0 19 Sep 2024
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs Priyabrata Saha Saibal Mukhopadhyay AI4CE 58 0 0 09 Sep 2024
On latent dynamics learning in nonlinear reduced order modeling N. Farenga S. Fresca Simone Brivio Andrea Manzoni AI4CE 67 1 0 27 Aug 2024
Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology Matteo Salvador Alison L. Marsden AI4CE 93 1 0 19 Aug 2024
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations Han Gao Sebastian Kaltenbach Petros Koumoutsakos DiffM AI4CE 119 9 0 31 Jul 2024
System stabilization with policy optimization on unstable latent manifolds Steffen W. R. Werner Benjamin Peherstorfer 62 2 0 08 Jul 2024
Towards Universal Mesh Movement Networks Mingrui Zhang Chunyang Wang Stephan Kramer Joseph G. Wallwork Siyi Li Jiancheng Liu Xiang Chen M. Piggott AI4CE 86 2 0 29 Jun 2024
Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars Wesley Brewer Aditya Kashi Sajal Dash A. Tsaris Junqi Yin Mallikarjun Shankar Feiyi Wang 82 0 0 24 Jun 2024
On instabilities in neural network-based physics simulators Daniel Floryan AI4CE 63 2 0 18 Jun 2024
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps Asif Hamid Danish Rafiq S. A. Nahvi M. A. Bazaz AI4CE 63 0 0 28 Apr 2024
Stochastic parameter reduced-order model based on hybrid machine learning approaches Cheng Fang Jinqiao Duan 62 0 0 24 Mar 2024
A conditional latent autoregressive recurrent model for generation and forecasting of beam dynamics in particle accelerators M. Rautela Alan Williams A. Scheinker 84 4 0 19 Mar 2024
A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs Dimitrios G. Patsatzis Lucia Russo Constantinos Siettos PINN 64 3 0 18 Mar 2024
Out-of-Domain Generalization in Dynamical Systems Reconstruction Niclas Alexander Göring Florian Hess Manuel Brenner Zahra Monfared Daniel Durstewitz AI4CE 102 16 0 28 Feb 2024
Generative Learning for Forecasting the Dynamics of Complex Systems Han Gao Sebastian Kaltenbach Petros Koumoutsakos AI4TS AI4CE 123 8 0 27 Feb 2024
A Comprehensive Survey on Artificial Intelligence for Complex Network: Potential, Methodology and Application Jingtao Ding Chang Liu Y. Zheng Yunke Zhang Zihan Yu ... Hongyi Chen J. Piao Huandong Wang Jiazhen Liu Yong Li AI4CE 83 13 0 23 Feb 2024
Machine Learning based Prediction of Ditching Loads Henning Schwarz Micha Überrück J. Zemke Thomas Rung MU AI4CE 47 1 0 16 Feb 2024
A Novel Paradigm in Solving Multiscale Problems Jing Wang Zheng Li Pengyu Lai Rui Wang Di Yang Dewu Yang Hui Xu Wenquan Tao AI4CE 63 0 0 07 Feb 2024
RefreshNet: Learning Multiscale Dynamics through Hierarchical Refreshing Junaid Farooq Danish Rafiq Pantelis R. Vlachas M. A. Bazaz 54 0 0 24 Jan 2024
Information theory for data-driven model reduction in physics and biology Matthew S. Schmitt Maciej Koch-Janusz Michel Fruchart Daniel S. Seara Michael Rust Vincenzo Vitelli 85 5 0 11 Dec 2023
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations Asif Hamid Danish Rafiq S. A. Nahvi M. A. Bazaz AI4CE 79 2 0 10 Nov 2023
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications M. Haywood-Alexander Wei Liu Kiran Bacsa Zhilu Lai Eleni Chatzi AI4CE 48 12 0 31 Oct 2023
Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets Ira J. S. Shokar R. Kerswell Peter H. Haynes 78 5 0 25 Oct 2023
Course Correcting Koopman Representations Mahan Fathi Clement Gehring Jonathan Pilault David Kanaa Pierre-Luc Bacon Ross Goroshin 80 1 0 23 Oct 2023
Data driven modeling for self-similar dynamics Ruyi Tao Ningning Tao Yizhuang You Jiang Zhang 67 0 0 12 Oct 2023
Tasks Makyth Models: Machine Learning Assisted Surrogates for Tipping Points Gianluca Fabiani N. Evangelou Tianqi Cui J. M. Bello-Rivas Cristina P. Martin-Linares Constantinos Siettos Ioannis G. Kevrekidis 64 2 0 25 Sep 2023
Interpretable learning of effective dynamics for multiscale systems Emmanuel Menier Sebastian Kaltenbach Mouadh Yagoubi Marc Schoenauer Petros Koumoutsakos AI4CE 79 7 0 11 Sep 2023
Multi-fidelity reduced-order surrogate modeling Paolo Conti Mengwu Guo Andrea Manzoni A. Frangi Steven L. Brunton N. Kutz AI4CE 93 28 0 01 Sep 2023
Finding emergence in data by maximizing effective information Mingzhe Yang Zhipeng Wang Kaiwei Liu Ying Rong Bing Yuan Jiang Zhang CML 40 6 0 19 Aug 2023
Branched Latent Neural Maps M. Salvador Alison Lesley Marsden 90 4 0 04 Aug 2023
Predicting Ordinary Differential Equations with Transformers Soren Becker M. Klein Alexander Neitz Giambattista Parascandolo Niki Kilbertus 89 17 0 24 Jul 2023
Training neural operators to preserve invariant measures of chaotic attractors Ruoxi Jiang Peter Y. Lu Elena Orlova Rebecca Willett AI4TS 104 26 0 01 Jun 2023
Learning Controllable Adaptive Simulation for Multi-resolution Physics Tailin Wu Takashi Maruyama Qingqing Zhao Gordon Wetzstein J. Leskovec PINN AI4CE 88 22 0 01 May 2023
Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems Kevin Zeng Carlos E. Pérez De Jesús Andrew J Fox M. Graham AI4CE 87 14 0 01 May 2023
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes Francesco Regazzoni S. Pagani M. Salvador Luca Dede' A. Quarteroni AI4CE 55 7 0 28 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems Ivica Kicic Pantelis R. Vlachas G. Arampatzis Michail Chatzimanolakis Leonidas Guibas Petros Koumoutsakos AI4CE 65 6 0 04 Apr 2023
Interpretable reduced-order modeling with time-scale separation Sebastian Kaltenbach P. Koutsourelakis Petros Koumoutsakos AI4CE 38 2 0 03 Mar 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas Petros Koumoutsakos AI4TS AI4CE 97 7 0 22 Feb 2023