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Chaotic transport of navigation satellites
Chaos 29, 101106 (2019)
https://doi.org/10.1063/1.5124682
REGULAR ARTICLES
Network embedding for link prediction: The pitfall and improvement
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 29, 103102 (2019)
https://doi.org/10.1063/1.5120724
Linear response in neuronal networks: From neurons dynamics to collective response
In Special Collection:
Linear Response Theory: Potentials and Limits
Chaos 29, 103105 (2019)
https://doi.org/10.1063/1.5111803
Robust and optimal sparse regression for nonlinear PDE models
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 29, 103113 (2019)
https://doi.org/10.1063/1.5120861
Model reconstruction from temporal data for coupled oscillator networks
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 29, 103116 (2019)
https://doi.org/10.1063/1.5120784
Fundamental aspects of noise in analog-hardware neural networks
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 29, 103128 (2019)
https://doi.org/10.1063/1.5120824
Rate of change of frequency under line contingencies in high voltage electric power networks with uncertainties
In Special Collection:
Dynamics of Modern Power Grids
Chaos 29, 103130 (2019)
https://doi.org/10.1063/1.5115002
On structural and dynamical factors determining the integrated basin instability of power-grid nodes
In Special Collection:
Dynamics of Modern Power Grids
Chaos 29, 103132 (2019)
https://doi.org/10.1063/1.5115532
Bayesian consensus clustering in multiplex networks
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 29, 103142 (2019)
https://doi.org/10.1063/1.5120503
Toward optimizing control signal paths in functional brain networks
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 29, 103144 (2019)
https://doi.org/10.1063/1.5119974
Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input
In Special Collection:
Dynamics of Modern Power Grids
Chaos 29, 103149 (2019)
https://doi.org/10.1063/1.5122986
Bridging between load-flow and Kuramoto-like power grid models: A flexible approach to integrating electrical storage units
In Special Collection:
Dynamics of Modern Power Grids
Chaos 29, 103151 (2019)
https://doi.org/10.1063/1.5099241
Rogue waves: Theory, methods, and applications—30 years after the Draupner wave
Zhenya Yan, Boris A. Malomed, et al.
Anosov properties of a symplectic map with time-reversal symmetry
Ken-ichi Okubo, Ken Umeno
Enhancing reservoir predictions of chaotic time series by incorporating delayed values of input and reservoir variables
Luk Fleddermann, Sebastian Herzog, et al.