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Coarse-scale PDEs from fine-scale observations via machine learning
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Transient chimera-like states for forced oscillators
Chaos 30, 011102 (2020)
https://doi.org/10.1063/1.5141929
REGULAR ARTICLES
Measuring similarity in co-occurrence data using ego-networks
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 30, 013101 (2020)
https://doi.org/10.1063/1.5129036
Swing equation in power systems: Approximate analytical solution and bifurcation curve estimate
In Special Collection:
Dynamics of Modern Power Grids
Chaos 30, 013110 (2020)
https://doi.org/10.1063/1.5115527
Using machine learning to predict extreme events in the Hénon map
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 30, 013113 (2020)
https://doi.org/10.1063/1.5121844
Pattern formation and chimera states in 2D SQUID metamaterials
Chaos 30, 013115 (2020)
https://doi.org/10.1063/1.5122307
Time delay effects in the control of synchronous electricity grids
In Special Collection:
Dynamics of Modern Power Grids
Chaos 30, 013122 (2020)
https://doi.org/10.1063/1.5122738
On a topological criterion to select a recurrence threshold
Chaos 30, 013124 (2020)
https://doi.org/10.1063/1.5116766
Peculiarities of escape kinetics in the presence of athermal noises
Chaos 30, 013127 (2020)
https://doi.org/10.1063/1.5126263
Identifying characteristic time scales in power grid frequency fluctuations with DFA
In Special Collection:
Dynamics of Modern Power Grids
Chaos 30, 013130 (2020)
https://doi.org/10.1063/1.5123778
Solving Fokker-Planck equation using deep learning
In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Chaos 30, 013133 (2020)
https://doi.org/10.1063/1.5132840
Analytical techniques for linear response formula of equilibrium states
In Special Collection:
Linear Response Theory: Potentials and Limits
Chaos 30, 013134 (2020)
https://doi.org/10.1063/1.5122810
Coarse-scale PDEs from fine-scale observations via machine learning

In Special Collection:
When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics
Seungjoon Lee; Mahdi Kooshkbaghi; Konstantinos Spiliotis; Constantinos I. Siettos; Ioannis G. Kevrekidis
Chaos 30, 013141 (2020)
https://doi.org/10.1063/1.5126869
Control of dynamics via identical time-lagged stochastic inputs
Chaos 30, 013143 (2020)
https://doi.org/10.1063/1.5139464
Mitigation of tipping point transitions by time-delay feedback control
In Special Collection:
Rare Events in Complex Systems: Understanding and Prediction
Chaos 30, 013149 (2020)
https://doi.org/10.1063/1.5137825
Multilayer modeling of adoption dynamics in energy demand management
In Special Collection:
Dynamics of Modern Power Grids
Chaos 30, 013153 (2020)
https://doi.org/10.1063/1.5122313
ERRATA
Response to music on the nonlinear dynamics of human fetal heart rate fluctuations: A recurrence plot analysis
José Javier Reyes-Lagos, Hugo Mendieta-Zerón, et al.
Rate-induced biosphere collapse in the Daisyworld model
Constantin W. Arnscheidt, Hassan Alkhayuon
Selecting embedding delays: An overview of embedding techniques and a new method using persistent homology
Eugene Tan, Shannon Algar, et al.