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Physics-Informed Echo State Networks

Physics-Informed Echo State Networks

31 October 2020
N. Doan
W. Polifke
Luca Magri
ArXiv (abs)PDFHTML

Papers citing "Physics-Informed Echo State Networks"

14 / 14 papers shown
Title
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Attractor learning for spatiotemporally chaotic dynamical systems using echo state networks with transfer learning
Mohammad Shah Alam
William Ott
Ilya Timofeyev
29
0
0
30 May 2025
Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
Using Echo-State Networks to Reproduce Rare Events in Chaotic Systems
Anton Erofeev
Balasubramanya T. Nadiga
Ilya Timofeyev
12
0
0
22 May 2025
Enhancing Computational Efficiency in Multiscale Systems Using Deep
  Learning of Coordinates and Flow Maps
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
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A
  Data-Driven Approach
Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
D. E. Ozan
Luca Magri
25
1
0
18 Apr 2024
Machine learning for advancing low-temperature plasma modeling and
  simulation
Machine learning for advancing low-temperature plasma modeling and simulation
J. Trieschmann
Luca Vialetto
T. Gergs
AI4CE
55
6
0
30 Jun 2023
Analogue and Physical Reservoir Computing Using Water Waves
Analogue and Physical Reservoir Computing Using Water Waves
I. Maksymov
55
17
0
15 Jun 2023
Constraining Chaos: Enforcing dynamical invariants in the training of
  recurrent neural networks
Constraining Chaos: Enforcing dynamical invariants in the training of recurrent neural networks
Jason A. Platt
S. Penny
T. A. Smith
Tse-Chun Chen
H. Abarbanel
AI4TS
87
5
0
24 Apr 2023
Physics-Informed Long Short-Term Memory for Forecasting and
  Reconstruction of Chaos
Physics-Informed Long Short-Term Memory for Forecasting and Reconstruction of Chaos
Elise Özalp
G. Margazoglou
Luca Magri
AI4TS
26
3
0
03 Feb 2023
Data-driven prediction and control of extreme events in a chaotic flow
Data-driven prediction and control of extreme events in a chaotic flow
A. Racca
Luca Magri
44
20
0
25 Apr 2022
CD-ROM: Complemented Deep-Reduced Order Model
CD-ROM: Complemented Deep-Reduced Order Model
Emmanuel Menier
M. Bucci
Mouadh Yagoubi
L. Mathelin
Marc Schoenauer
90
8
0
22 Feb 2022
Simultaneous boundary shape estimation and velocity field de-noising in
  Magnetic Resonance Velocimetry using Physics-informed Neural Networks
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
Ushnish Sengupta
Alexandros Kontogiannis
M. Juniper
16
0
0
16 Jul 2021
Frame-independent vector-cloud neural network for nonlocal constitutive
  modeling on arbitrary grids
Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids
Xueqing Zhou
Jiequn Han
Heng Xiao
64
31
0
11 Mar 2021
Robust Optimization and Validation of Echo State Networks for learning
  chaotic dynamics
Robust Optimization and Validation of Echo State Networks for learning chaotic dynamics
A. Racca
Luca Magri
OODAAML
52
64
0
09 Feb 2021
Auto-Encoded Reservoir Computing for Turbulence Learning
Auto-Encoded Reservoir Computing for Turbulence Learning
N. Doan
W. Polifke
Luca Magri
AI4CE
27
10
0
20 Dec 2020
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