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Volume 32, Issue 6

June 2022

ISSN 1054-1500

EISSN 1089-7682

FAST TRACK

Researchers’ transfer network reveals the evolution of national science and technology capabilities

Yating Yang; Chengli Zhao; Xue Zhang; Zhengming Wang

Chaos 32, 061101 (2022) https://doi.org/10.1063/5.0093905

Abstract

View articletitled, Researchers’ transfer network reveals the evolution of national science and technology capabilities

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Emergency rate-driven control for rotor angle instability in power systems

Suchithra K. S.; Gopalakrishnan E. A.; Jürgen Kurths; E. Surovyatkina

Chaos 32, 061102 (2022) https://doi.org/10.1063/5.0093450

Abstract

View articletitled, Emergency rate-driven control for rotor angle instability in power systems

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Variational inference of the drift function for stochastic differential equations driven by Lévy processes

Min Dai; Jinqiao Duan; Jianyu Hu; Jianghui Wen; Xiangjun Wang

Chaos 32, 061103 (2022) https://doi.org/10.1063/5.0095605

Abstract

View articletitled, Variational inference of the drift function for stochastic differential equations driven by Lévy processes

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CHORUS

Greenhouse gas emissions: A rapid submerge of the world

A. Gowrisankar; T. M. C. Priyanka; Asit Saha; Lamberto Rondoni; Md. Kamrul Hassan; Santo Banerjee

Chaos 32, 061104 (2022) https://doi.org/10.1063/5.0091843

Abstract

View articletitled, Greenhouse gas emissions: A rapid submerge of the world

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Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case

In Special Collection: Theory-informed and Data-driven Approaches to Advance Climate Sciences

Rambod Mojgani; Ashesh Chattopadhyay; Pedram Hassanzadeh

Chaos 32, 061105 (2022) https://doi.org/10.1063/5.0091282

Abstract

View articletitled, Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto–Sivashinsky test case

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Noise-mitigation strategies in physical feedforward neural networks

N. Semenova; D. Brunner

Chaos 32, 061106 (2022) https://doi.org/10.1063/5.0096637

Abstract

View articletitled, Noise-mitigation strategies in physical feedforward neural networks

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Solar activity facilitates daily forecasts of large earthquakes

Matheus Henrique Junqueira Saldanha; Yoshito Hirata

Chaos 32, 061107 (2022) https://doi.org/10.1063/5.0096150

Abstract

View articletitled, Solar activity facilitates daily forecasts of large earthquakes

Supplementary Material

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REVIEW ARTICLE

Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

Qi Liu; Yong Xu; Jürgen Kurths; Xiaochuan Liu

Chaos 32, 062101 (2022) https://doi.org/10.1063/5.0093478

Abstract

View articletitled, Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

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REGULAR ARTICLES

Model selection of chaotic systems from data with hidden variables using sparse data assimilation

H. Ribera; S. Shirman; A. V. Nguyen; N. M. Mangan

Chaos 32, 063101 (2022) https://doi.org/10.1063/5.0066066

Abstract

View articletitled, Model selection of chaotic systems from data with hidden variables using sparse data assimilation

Supplementary Material

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Structure-based approach to identifying small sets of driver nodes in biological networks

Eli Newby; Jorge Gómez Tejeda Zañudo; Réka Albert

Chaos 32, 063102 (2022) https://doi.org/10.1063/5.0080843

Abstract

View articletitled, Structure-based approach to identifying small sets of driver nodes in biological networks

Supplementary Material

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Improving time series prediction accuracy for the maxima of a flow by reconstructions using local cross sections

Yoshito Hirata; Masanori Shiro

Chaos 32, 063103 (2022) https://doi.org/10.1063/5.0092433

Abstract

View articletitled, Improving time series prediction accuracy for the maxima of a flow by reconstructions using local cross sections

Supplementary Material

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Stability of heteroclinic cycles in ring graphs

Claire M. Postlethwaite; Rob Sturman

Chaos 32, 063104 (2022) https://doi.org/10.1063/5.0088856

Abstract

View articletitled, Stability of heteroclinic cycles in ring graphs

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Early detection of lean blowout using recurrence network for varying degrees of premixedness

Arijit Bhattacharya; Somnath De; Sirshendu Mondal; Achintya Mukhopadhyay; Swarnendu Sen

Chaos 32, 063105 (2022) https://doi.org/10.1063/5.0077436

Abstract

View articletitled, Early detection of lean blowout using recurrence network for varying degrees of premixedness

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Partial locking in phase-oscillator populations with heterogenous coupling

Can Xu; Yonggang Wu; Zhigang Zheng; Longkun Tang

Chaos 32, 063106 (2022) https://doi.org/10.1063/5.0093318

Abstract

View articletitled, Partial locking in phase-oscillator populations with heterogenous coupling

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Physics-informed neural networks and functional interpolation for stiff chemical kinetics

Mario De Florio; Enrico Schiassi; Roberto Furfaro

Chaos 32, 063107 (2022) https://doi.org/10.1063/5.0086649

Abstract

View articletitled, Physics-informed neural networks and functional interpolation for stiff chemical kinetics

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Normal-mode oscillations for the circular and dipolar states of a filled hexagonal magnetic dipole cluster

Peter T. Haugen; Andrew D. P. Smith; Boyd F. Edwards

Chaos 32, 063108 (2022) https://doi.org/10.1063/5.0076147

Abstract

View articletitled, Normal-mode oscillations for the circular and dipolar states of a filled hexagonal magnetic dipole cluster

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CHORUS

Information thermodynamics of encoding and encoders

Yang Tian; Pei Sun

Chaos 32, 063109 (2022) https://doi.org/10.1063/5.0068115

Abstract

View articletitled, Information thermodynamics of encoding and encoders

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Network resilience of non-hub nodes failure under memory and non-memory based attacks with limited information

Gaogao Dong; Nan Wang; Fan Wang; Ting Qing; Yangyang Liu; André L. M. Vilela

Chaos 32, 063110 (2022) https://doi.org/10.1063/5.0092284

Abstract

View articletitled, Network resilience of non-hub nodes failure under memory and non-memory based attacks with limited information

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Adapting reservoir computing to solve the Schrödinger equation

L. Domingo; J. Borondo; F. Borondo

Chaos 32, 063111 (2022) https://doi.org/10.1063/5.0087785

Abstract

View articletitled, Adapting reservoir computing to solve the Schrödinger equation

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An end-to-end deep learning approach for extracting stochastic dynamical systems with α-stable Lévy noise

Cheng Fang; Yubin Lu; Ting Gao; Jinqiao Duan

Chaos 32, 063112 (2022) https://doi.org/10.1063/5.0089832

Abstract

View articletitled, An end-to-end deep learning approach for extracting stochastic dynamical systems with <strong><em>α</em></strong>-stable Lévy noise

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Thermalization dynamics of macroscopic weakly nonintegrable maps

Merab Malishava; Sergej Flach

Chaos 32, 063113 (2022) https://doi.org/10.1063/5.0092032

Abstract

View articletitled, Thermalization dynamics of macroscopic weakly nonintegrable maps

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Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise

Yang Li; Jifan Shi; Kazuyuki Aihara

Chaos 32, 063114 (2022) https://doi.org/10.1063/5.0081295

Abstract

View articletitled, Mean-field analysis of Stuart–Landau oscillator networks with symmetric coupling and dynamical noise

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CHORUS

Optimal control of the reaction–diffusion process on directed networks

Chen Liu; Shupeng Gao; Mingrui Song; Yue Bai; Lili Chang; Zhen Wang

Chaos 32, 063115 (2022) https://doi.org/10.1063/5.0087855

Abstract

View articletitled, Optimal control of the reaction–diffusion process on directed networks

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How zealots affect the energy cost for controlling complex social networks

In Special Collection: Complex Systems and Inter/Transdisciplinary Research

Hong Chen; Ee Hou Yong

Chaos 32, 063116 (2022) https://doi.org/10.1063/5.0085222

Abstract

View articletitled, How zealots affect the energy cost for controlling complex social networks

Supplementary Material

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A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks

Shahrokh Shahi; Flavio H. Fenton; Elizabeth M. Cherry

Chaos 32, 063117 (2022) https://doi.org/10.1063/5.0087812

Abstract

View articletitled, A machine-learning approach for long-term prediction of experimental cardiac action potential time series using an autoencoder and echo state networks

Supplementary Material

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CHORUS

Control of escapes in two-degree-of-freedom open Hamiltonian systems

Alexandre R. Nieto; Thomas Lilienkamp; Jesús M. Seoane; Miguel A. F. Sanjuán; Ulrich Parlitz

Chaos 32, 063118 (2022) https://doi.org/10.1063/5.0090150

Abstract

View articletitled, Control of escapes in two-degree-of-freedom open Hamiltonian systems

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Disentangling intrinsic motion from neighborhood effects in heterogeneous collective motion

Arshed Nabeel; Danny Raj Masila

Chaos 32, 063119 (2022) https://doi.org/10.1063/5.0093682

Abstract

View articletitled, Disentangling intrinsic motion from neighborhood effects in heterogeneous collective motion

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Sol-gel transition programmed self-propulsion of chitosan hydrogel

In Special Collection: From Chemical Oscillations to Applications of Nonlinear Dynamics: Dedicated to Richard J. Field on the Occasion of his 80th Birthday

Pawan Kumar; Dezső Horváth; Ágota Tóth

Chaos 32, 063120 (2022) https://doi.org/10.1063/5.0097035

Abstract

View articletitled, Sol-gel transition programmed self-propulsion of chitosan hydrogel

Supplementary Material

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Temporal evolution of failure avalanches of the fiber bundle model on complex networks

Attia Batool; Zsuzsa Danku; Gergő Pál; Ferenc Kun

Chaos 32, 063121 (2022) https://doi.org/10.1063/5.0089634

Abstract

View articletitled, Temporal evolution of failure avalanches of the fiber bundle model on complex networks

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Complexity in subnetworks of a peroxidase–oxidase reaction model

In Special Collection: From Chemical Oscillations to Applications of Nonlinear Dynamics: Dedicated to Richard J. Field on the Occasion of his 80th Birthday

Jason A. C. Gallas; Lars F. Olsen

Chaos 32, 063122 (2022) https://doi.org/10.1063/5.0093169

Abstract

View articletitled, Complexity in subnetworks of a peroxidase–oxidase reaction model

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Stochastic growth tree networks with an identical fractal dimension: Construction and mean hitting time for random walks

Fei Ma; Xudong Luo; Ping Wang

Chaos 32, 063123 (2022) https://doi.org/10.1063/5.0093795

Abstract

View articletitled, Stochastic growth tree networks with an identical fractal dimension: Construction and mean hitting time for random walks

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Efficient moment-based approach to the simulation of infinitely many heterogeneous phase oscillators

In Special Collection: Dynamics of Oscillator Populations

Iván León; Diego Pazó

Chaos 32, 063124 (2022) https://doi.org/10.1063/5.0093001

Abstract

View articletitled, Efficient moment-based approach to the simulation of infinitely many heterogeneous phase oscillators

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First-order like phase transition induced by quenched coupling disorder

In Special Collection: Dynamics of Oscillator Populations

Hyunsuk Hong; Erik A. Martens

Chaos 32, 063125 (2022) https://doi.org/10.1063/5.0078431

Abstract

View articletitled, First-order like phase transition induced by quenched coupling disorder

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Disordered quenching in arrays of coupled Bautin oscillators

In Special Collection: Dynamics of Oscillator Populations

Anastasiia A. Emelianova; Oleg V. Maslennikov; Vladimir I. Nekorkin

Chaos 32, 063126 (2022) https://doi.org/10.1063/5.0093947

Abstract

View articletitled, Disordered quenching in arrays of coupled Bautin oscillators

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A generic model for pandemics in networks of communities and the role of vaccination

Chris G. Antonopoulos; M. H. Akrami; Vasileios Basios; Anouchah Latifi

Chaos 32, 063127 (2022) https://doi.org/10.1063/5.0082002

Abstract

View articletitled, A generic model for pandemics in networks of communities and the role of vaccination

Supplementary Material

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Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities

In Special Collection: Theory-informed and Data-driven Approaches to Advance Climate Sciences

Igor I. Mokhov; Dmitry A. Smirnov

Chaos 32, 063128 (2022) https://doi.org/10.1063/5.0088042

Abstract

View articletitled, Contributions to surface air temperature trends estimated from climate time series: Medium-term causalities

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Interplay of noise induced stability and stochastic resetting

Karol Capała; Bartłomiej Dybiec; Ewa Gudowska-Nowak

Chaos 32, 063129 (2022) https://doi.org/10.1063/5.0092887

Abstract

View articletitled, Interplay of noise induced stability and stochastic resetting

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Large internal solitary waves on a weak shear

Oleg G. Derzho

Chaos 32, 063130 (2022) https://doi.org/10.1063/5.0078975

Abstract

View articletitled, Large internal solitary waves on a weak shear

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A self-consistent analytical theory for rotator networks under stochastic forcing: Effects of intrinsic noise and common input

Jonas Ranft; Benjamin Lindner

Chaos 32, 063131 (2022) https://doi.org/10.1063/5.0096000

Abstract

View articletitled, A self-consistent analytical theory for rotator networks under stochastic forcing: Effects of intrinsic noise and common input

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Phase space partition with Koopman analysis

Cong Zhang; Haipeng Li; Yueheng Lan

Chaos 32, 063132 (2022) https://doi.org/10.1063/5.0079812

Abstract

View articletitled, Phase space partition with Koopman analysis

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A definition of the asymptotic phase for quantum nonlinear oscillators from the Koopman operator viewpoint

Yuzuru Kato; Hiroya Nakao

Chaos 32, 063133 (2022) https://doi.org/10.1063/5.0088559

Abstract

View articletitled, A definition of the asymptotic phase for quantum nonlinear oscillators from the Koopman operator viewpoint

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CHORUS

Partial event coincidence analysis for distinguishing direct and indirect coupling in functional network construction

Jiamin Lu; Reik V. Donner; Dazhi Yin; Shuguang Guan; Yong Zou

Chaos 32, 063134 (2022) https://doi.org/10.1063/5.0087607

Abstract

View articletitled, Partial event coincidence analysis for distinguishing direct and indirect coupling in functional network construction

Supplementary Material

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Temporal network epistemology: On reaching consensus in a real-world setting

Radosław Michalski; Damian Serwata; Mateusz Nurek; Boleslaw K. Szymanski; Przemysław Kazienko; Tao Jia

Chaos 32, 063135 (2022) https://doi.org/10.1063/5.0074992

Abstract

View articletitled, Temporal network epistemology: On reaching consensus in a real-world setting

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CHORUS

Chaotic dynamics of small-sized charged Yukawa dust clusters

Priya Deshwal; Mamta Yadav; Chaitanya Prasad; Shantam Sridev; Yash Ahuja; Srimanta Maity; Amita Das

Chaos 32, 063136 (2022) https://doi.org/10.1063/5.0086392

Abstract

View articletitled, Chaotic dynamics of small-sized charged Yukawa dust clusters

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The emergence of polyglot entrainment responses to periodic inputs in vicinities of Hopf bifurcations in slow-fast systems

Emel Khan; Soheil Saghafi; Casey O. Diekman; Horacio G. Rotstein

Chaos 32, 063137 (2022) https://doi.org/10.1063/5.0079198

Abstract

View articletitled, The emergence of polyglot entrainment responses to periodic inputs in vicinities of Hopf bifurcations in slow-fast systems

Supplementary Material

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CHORUS

Two-layer network model of public goods games with intervention and corruption

Zhenyu Shi; Wei Wei; Baifeng Li; Chao Li; Haibin Li; Zhiming Zheng

Chaos 32, 063138 (2022) https://doi.org/10.1063/5.0088493

Abstract

View articletitled, Two-layer network model of public goods games with intervention and corruption

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Bifurcation, chaos, multistability, and organized structures in a predator–prey model with vigilance

Mainul Hossain; Shilpa Garai; Sajad Jafari; Nikhil Pal

Chaos 32, 063139 (2022) https://doi.org/10.1063/5.0086906

Abstract

View articletitled, Bifurcation, chaos, multistability, and organized structures in a predator–prey model with vigilance

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Effects of the direction and speed strategies on pedestrian dynamics

Xiangmin Hu; Tao Chen; Kaifeng Deng; Guanning Wang

Chaos 32, 063140 (2022) https://doi.org/10.1063/5.0091240

Abstract

View articletitled, Effects of the direction and speed strategies on pedestrian dynamics

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