Deep learning to discover and predict dynamics on an inertial manifold

20 December 2019

Papers citing "Deep learning to discover and predict dynamics on an inertial manifold"

6 / 6 papers shown

Title
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 110 4 0 17 Feb 2025
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow Carlos E. Pérez De Jesús Alec J. Linot Michael D. Graham AI4CE 62 2 0 15 Dec 2023
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 51 387 0 26 Jul 2018
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks Pantelis R. Vlachas Wonmin Byeon Z. Y. Wan T. Sapsis Petros Koumoutsakos AI4TS 36 471 0 21 Feb 2018
Deep learning for universal linear embeddings of nonlinear dynamics Bethany Lusch J. Nathan Kutz Steven L. Brunton 65 1,237 0 27 Dec 2017
Linearly-Recurrent Autoencoder Networks for Learning Dynamics Samuel E. Otto C. Rowley AI4CE 42 323 0 04 Dec 2017