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Volume 29, Issue 11

November 2019

ISSN 1054-1500

EISSN 1089-7682

FAST TRACK

Optimal ratchet current for elastically interacting particles

Rafael M. da Silva; Cesar Manchein; Marcus W. Beims

Chaos 29, 111101 (2019) https://doi.org/10.1063/1.5127925

Abstract

View articletitled, Optimal ratchet current for elastically interacting particles

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On the intersection of a chaotic attractor and a chaotic repeller in the system of two adaptively coupled phase oscillators

A. A. Emelianova; V. I. Nekorkin

Chaos 29, 111102 (2019) https://doi.org/10.1063/1.5130994

Abstract

View articletitled, On the intersection of a chaotic attractor and a chaotic repeller in the system of two adaptively coupled phase oscillators

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REGULAR ARTICLES

Environmental feedback promotes the evolution of cooperation in the structured populations

Yu’e Wu; Zhipeng Zhang; Ming Yan; Shuhua Zhang

Chaos 29, 113101 (2019) https://doi.org/10.1063/1.5120049

Abstract

View articletitled, Environmental feedback promotes the evolution of cooperation in the structured populations

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The snowball Earth transition in a climate model with drifting parameters: Splitting of the snapshot attractor

Bálint Kaszás; Tímea Haszpra; Mátyás Herein

Chaos 29, 113102 (2019) https://doi.org/10.1063/1.5108837

Abstract

View articletitled, The snowball Earth transition in a climate model with drifting parameters: Splitting of the snapshot attractor

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Large-deviations of the basin stability of power grids

In Special Collection: Dynamics of Modern Power Grids

Yannick Feld; Alexander K. Hartmann

Chaos 29, 113103 (2019) https://doi.org/10.1063/1.5121415

Abstract

View articletitled, Large-deviations of the basin stability of power grids

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Adaptive chaotic MIMO radar based on DPMM clustering and Kalman filtering technique

Yu Yao; Zeqing Li; Junhui Zhao; Lenan Wu

Chaos 29, 113104 (2019) https://doi.org/10.1063/1.5112073

Abstract

View articletitled, Adaptive chaotic MIMO radar based on DPMM clustering and Kalman filtering technique

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On the dynamics of a simplified canonical Chua’s oscillator with smooth hyperbolic sine nonlinearity: Hyperchaos, multistability and multistability control

T. Fonzin Fozin; P. Megavarna Ezhilarasu; Z. Njitacke Tabekoueng; G. D. Leutcho; J. Kengne; K. Thamilmaran; A. B. Mezatio; F. B. Pelap

Chaos 29, 113105 (2019) https://doi.org/10.1063/1.5121028

Abstract

View articletitled, On the dynamics of a simplified canonical Chua’s oscillator with smooth hyperbolic sine nonlinearity: Hyperchaos, multistability and multistability control

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Learning epidemic threshold in complex networks by Convolutional Neural Network

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Qi Ni; Jie Kang; Ming Tang; Ying Liu; Yong Zou

Chaos 29, 113106 (2019) https://doi.org/10.1063/1.5121401

Abstract

View articletitled, Learning epidemic threshold in complex networks by Convolutional Neural Network

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The β Fermi-Pasta-Ulam-Tsingou recurrence problem

Salvatore D. Pace; Kevin A. Reiss; David K. Campbell

Chaos 29, 113107 (2019) https://doi.org/10.1063/1.5122972

Abstract

View articletitled, The <strong>β</strong> Fermi-Pasta-Ulam-Tsingou recurrence problem

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Suppressing epidemic spreading by optimizing the allocation of resources between prevention and treatment

Jiayang Li; Chun Yang; Xiaotian Ma; Yachun Gao; Chuanji Fu; Hongchun Yang

Chaos 29, 113108 (2019) https://doi.org/10.1063/1.5114873

Abstract

View articletitled, Suppressing epidemic spreading by optimizing the allocation of resources between prevention and treatment

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Impact of network topology on the stability of DC microgrids

In Special Collection: Dynamics of Modern Power Grids

J. F. Wienand; D. Eidmann; J. Kremers; J. Heitzig; F. Hellmann; J. Kurths

Chaos 29, 113109 (2019) https://doi.org/10.1063/1.5110348

Abstract

View articletitled, Impact of network topology on the stability of DC microgrids

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A novel complex network link prediction framework via combining mutual information with local naive Bayes

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Zengqiang Chen; Runfang Wang; Zhongxin Liu

Chaos 29, 113110 (2019) https://doi.org/10.1063/1.5119759

Abstract

View articletitled, A novel complex network link prediction framework via combining mutual information with local naive Bayes

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Machine learning algorithms for predicting the amplitude of chaotic laser pulses

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Pablo Amil; Miguel C. Soriano; Cristina Masoller

Chaos 29, 113111 (2019) https://doi.org/10.1063/1.5120755

Abstract

View articletitled, Machine learning algorithms for predicting the amplitude of chaotic laser pulses

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Classification of close binary stars using recurrence networks

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Sandip V. George; R. Misra; G. Ambika

Chaos 29, 113112 (2019) https://doi.org/10.1063/1.5120739

Abstract

View articletitled, Classification of close binary stars using recurrence networks

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Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

A. Cunillera; M. C. Soriano; I. Fischer

Chaos 29, 113113 (2019) https://doi.org/10.1063/1.5120822

Abstract

View articletitled, Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

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Adaptive willingness resolves social dilemma in network populations

In Special Collection: Focus Issue: Complex Network Approaches to Cyber-Physical Systems

Peican Zhu; Zhao Song; Hao Guo; Zhen Wang; Tianyun Zhao

Chaos 29, 113114 (2019) https://doi.org/10.1063/1.5093046

Abstract

View articletitled, Adaptive willingness resolves social dilemma in network populations

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Chaotic dynamics as a mechanism of rapid transition of hippocampal local field activity between theta and non-theta states

Keita Tokuda; Yuichi Katori; Kazuyuki Aihara

Chaos 29, 113115 (2019) https://doi.org/10.1063/1.5110327

Abstract

View articletitled, Chaotic dynamics as a mechanism of rapid transition of hippocampal local field activity between theta and non-theta states

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Mixed global dynamics of forced vibro-impact oscillator with Coulomb friction

Oleg Gendelman; Pavel Kravetc; Dmitrii Rachinskii

Chaos 29, 113116 (2019) https://doi.org/10.1063/1.5095627

Abstract

View articletitled, Mixed global dynamics of forced vibro-impact oscillator with Coulomb friction

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Don’t go chasing artificial waterfalls: Artificial line limits and cascading failures in power grids

In Special Collection: Dynamics of Modern Power Grids

J. Bourne; A. O’Sullivan; E. Arcaute

Chaos 29, 113117 (2019) https://doi.org/10.1063/1.5115493

Abstract

View articletitled, Don’t go chasing artificial waterfalls: Artificial line limits and cascading failures in power grids

Supplementary Material

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Inferring causal relationship in coordinated flight of pigeon flocks

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Duxin Chen; Yuchen Wang; Ge Wu; Mingyu Kang; Yongzheng Sun; Wenwu Yu

Chaos 29, 113118 (2019) https://doi.org/10.1063/1.5120787

Abstract

View articletitled, Inferring causal relationship in coordinated flight of pigeon flocks

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Predicting slow and fast neuronal dynamics with machine learning

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Rosangela Follmann; Epaminondas Rosa, Jr.

Chaos 29, 113119 (2019) https://doi.org/10.1063/1.5119723

Abstract

View articletitled, Predicting slow and fast neuronal dynamics with machine learning

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Learning the tangent space of dynamical instabilities from data

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Antoine Blanchard; Themistoklis P. Sapsis

Chaos 29, 113120 (2019) https://doi.org/10.1063/1.5120830

Abstract

View articletitled, Learning the tangent space of dynamical instabilities from data

Supplementary Material

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Inference of chemical reaction networks based on concentration profiles using an optimization framework

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Damoun Langary; Zoran Nikoloski

Chaos 29, 113121 (2019) https://doi.org/10.1063/1.5120598

Abstract

View articletitled, Inference of chemical reaction networks based on concentration profiles using an optimization framework

Supplementary Material

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Timing and shape of stochastic autocatalytic burst formation

A. Jamieson-Lane; E. N. Cytrynbaum

Chaos 29, 113122 (2019) https://doi.org/10.1063/1.5123343

Abstract

View articletitled, Timing and shape of stochastic autocatalytic burst formation

Supplementary Material

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Misinformation spreading on correlated multiplex networks

Jiajun Xian; Dan Yang; Liming Pan; Wei Wang; Zhen Wang

Chaos 29, 113123 (2019) https://doi.org/10.1063/1.5121394

Abstract

View articletitled, Misinformation spreading on correlated multiplex networks

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Dynamic pilot wave bound states

Troy Shinbrot

Chaos 29, 113124 (2019) https://doi.org/10.1063/1.5116695

Abstract

View articletitled, Dynamic pilot wave bound states

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CHORUS

ChaosNet: A chaos based artificial neural network architecture for classification

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Harikrishnan Nellippallil Balakrishnan; Aditi Kathpalia; Snehanshu Saha; Nithin Nagaraj

Chaos 29, 113125 (2019) https://doi.org/10.1063/1.5120831

Abstract

View articletitled, ChaosNet: A chaos based artificial neural network architecture for classification

Supplementary Material

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A recurrence network-based convolutional neural network for fatigue driving detection from EEG

In Special Collection: When Machine Learning Meets Complex Systems: Networks, Chaos and Nonlinear Dynamics

Zhong-Ke Gao; Yan-Li Li; Yu-Xuan Yang; Chao Ma

Chaos 29, 113126 (2019) https://doi.org/10.1063/1.5120538

Abstract

View articletitled, A recurrence network-based convolutional neural network for fatigue driving detection from EEG

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Linear response for macroscopic observables in high-dimensional systems

In Special Collection: Linear Response Theory: Potentials and Limits

Caroline L. Wormell; Georg A. Gottwald

Chaos 29, 113127 (2019) https://doi.org/10.1063/1.5122740

Abstract

View articletitled, Linear response for macroscopic observables in high-dimensional systems

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Application of symbolic recurrence to experimental data, from firearm prevalence to fish swimming

Alain Boldini; Mert Karakaya; Manuel Ruiz Marín; Maurizio Porfiri

Chaos 29, 113128 (2019) https://doi.org/10.1063/1.5119883

Abstract

View articletitled, Application of symbolic recurrence to experimental data, from firearm prevalence to fish swimming

Supplementary Material

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CHORUS

Dynamical equivalence between Kuramoto models with first- and higher-order coupling

Robin Delabays

Chaos 29, 113129 (2019) https://doi.org/10.1063/1.5118941

Abstract

View articletitled, Dynamical equivalence between Kuramoto models with first- and higher-order coupling

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FAST TRACK

Optimal ratchet current for elastically interacting particles

On the intersection of a chaotic attractor and a chaotic repeller in the system of two adaptively coupled phase oscillators

REGULAR ARTICLES

Environmental feedback promotes the evolution of cooperation in the structured populations

The snowball Earth transition in a climate model with drifting parameters: Splitting of the snapshot attractor

Large-deviations of the basin stability of power grids

Adaptive chaotic MIMO radar based on DPMM clustering and Kalman filtering technique

On the dynamics of a simplified canonical Chua’s oscillator with smooth hyperbolic sine nonlinearity: Hyperchaos, multistability and multistability control

Learning epidemic threshold in complex networks by Convolutional Neural Network

The β Fermi-Pasta-Ulam-Tsingou recurrence problem

Suppressing epidemic spreading by optimizing the allocation of resources between prevention and treatment

Impact of network topology on the stability of DC microgrids

A novel complex network link prediction framework via combining mutual information with local naive Bayes

Machine learning algorithms for predicting the amplitude of chaotic laser pulses

Classification of close binary stars using recurrence networks

Cross-predicting the dynamics of an optically injected single-mode semiconductor laser using reservoir computing

Adaptive willingness resolves social dilemma in network populations

Chaotic dynamics as a mechanism of rapid transition of hippocampal local field activity between theta and non-theta states

Mixed global dynamics of forced vibro-impact oscillator with Coulomb friction

Don’t go chasing artificial waterfalls: Artificial line limits and cascading failures in power grids

Inferring causal relationship in coordinated flight of pigeon flocks

Predicting slow and fast neuronal dynamics with machine learning

Learning the tangent space of dynamical instabilities from data

Inference of chemical reaction networks based on concentration profiles using an optimization framework

Timing and shape of stochastic autocatalytic burst formation

Misinformation spreading on correlated multiplex networks

Dynamic pilot wave bound states

ChaosNet: A chaos based artificial neural network architecture for classification

A recurrence network-based convolutional neural network for fatigue driving detection from EEG

Linear response for macroscopic observables in high-dimensional systems

Application of symbolic recurrence to experimental data, from firearm prevalence to fish swimming

Dynamical equivalence between Kuramoto models with first- and higher-order coupling

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