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Journal Articles

Distributed optimization consensus for multi-agent systems on matrix-weighted networks

Suoxia Miao, Ruxin Xiong, Qing An, Cuihong Bao, Yaping Sun, Housheng Su

Chaos 34, 123121 (2024)

https://doi.org/10.1063/5.0235296

Published: December 2024

View article titled, Distributed optimization consensus for multi-agent systems on matrix-weighted networks

Journal Articles

Shortest path counting in complex networks based on powers of the adjacency matrix

Dingrong Tan, Ye Deng, Yu Xiao, Jun Wu

Chaos 34, 101104 (2024)

https://doi.org/10.1063/5.0226144

Published: October 2024

View article titled, Shortest path counting in complex networks based on powers of the adjacency matrix

Journal Articles

Symbolic extended dynamic mode decomposition

Connor Kennedy, John Kaushagen, Hong-Kun Zhang

Chaos 34, 093140 (2024)

https://doi.org/10.1063/5.0223615

Published: September 2024

View article titled, Symbolic extended dynamic mode decomposition

Journal Articles

Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion

Shuman Wang (汪舒曼), Afshan Batool, Xiang Sun (孙祥), Xiaomin Pan (潘晓敏)

Chaos 34, 073102 (2024)

https://doi.org/10.1063/5.0200406

Published: July 2024

View article titled, Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion

Journal Articles

Distributed Nash equilibrium seeking in noncooperative game with partial decision information of neighbors

Xin Jin, Kaihong Lu, Zhengxin Wang, Xiaojie Chen

Chaos 34, 063141 (2024)

https://doi.org/10.1063/5.0215214

Published: June 2024

View article titled, Distributed Nash equilibrium seeking in noncooperative game with partial decision information of neighbors

Journal Articles

A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers

Bin Pi, Minyu Feng, Liang-Jian Deng

Chaos 34, 063120 (2024)

https://doi.org/10.1063/5.0215761

Published: June 2024

View article titled, A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers

Journal Articles

Sleep-stage dependence and co-existence of cardio-respiratory coordination and phase synchronization

Yaopeng J. X. Ma, Johannes Zschocke, Martin Glos, Maria Kluge, Thomas Penzel, Jan W. Kantelhardt, Ronny P. Bartsch

Chaos 34, 043118 (2024)

https://doi.org/10.1063/5.0177552

Published: April 2024

View article titled, Sleep-stage dependence and co-existence of cardio-respiratory coordination and phase synchronization

Journal Articles

Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches

C. Ricardo Constante-Amores, Alec J. Linot, Michael D. Graham

Chaos 34, 043119 (2024)

https://doi.org/10.1063/5.0180415

Published: April 2024

View article titled, Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches

Journal Articles

Optimizing parameter search for community detection in time-evolving networks of complex systems

Italo'Ivo Lima Dias Pinto, Javier Omar Garcia, Kanika Bansal

Chaos 34, 023133 (2024)

https://doi.org/10.1063/5.0168783

Published: February 2024

View article titled, Optimizing parameter search for community detection in time-evolving networks of complex systems

Journal Articles

Influence maximization based on threshold models in hypergraphs

Renquan Zhang, Xilong Qu, Qiang Zhang, Xirong Xu, Sen Pei

Chaos 34, 023111 (2024)

https://doi.org/10.1063/5.0178329

Published: February 2024

View article titled, Influence maximization based on threshold models in hypergraphs

Journal Articles

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator

Ioannis K. Gallos, Daniel Lehmberg, Felix Dietrich, Constantinos Siettos

Chaos 34, 013151 (2024)

https://doi.org/10.1063/5.0157881

Published: January 2024

View article titled, Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator

Journal Articles

Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

C. Tyler Diggans, Abd AlRahman R. AlMomani

Chaos 33, 123131 (2023)

https://doi.org/10.1063/5.0182349

Published: December 2023

View article titled, Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

Journal Articles

Transient power dynamics in nematic electroconvection

Justin H. Peel, Marcus J. Daum, Rory T. Cerbus, John Robert Cressman

Chaos 33, 121103 (2023)

https://doi.org/10.1063/5.0063131

Published: December 2023

View article titled, Transient power dynamics in nematic electroconvection

Journal Articles

Exploring the free-energy landscape of a rotating superfluid

Andrew Cleary, Jacob Page

Chaos 33, 103123 (2023)

https://doi.org/10.1063/5.0163803

Published: October 2023

View article titled, Exploring the free-energy landscape of a rotating superfluid

Journal Articles

Estimating fractal dimensions: A comparative review and open source implementations

George Datseris, Inga Kottlarz, Anton P. Braun, Ulrich Parlitz

Chaos 33, 102101 (2023)

https://doi.org/10.1063/5.0160394

Published: October 2023

View article titled, Estimating fractal dimensions: A comparative review and open source implementations

Journal Articles

Visibility graph-based segmentation of multivariate time series data and its application

Jun Hu, Chengbin Chu, Peican Zhu, Manman Yuan

Chaos 33, 093123 (2023)

https://doi.org/10.1063/5.0152881

Published: September 2023

View article titled, Visibility graph-based segmentation of multivariate time series data and its application

Journal Articles

Symbolic regression via neural networks

N. Boddupalli, T. Matchen, J. Moehlis

Chaos 33, 083150 (2023)

https://doi.org/10.1063/5.0134464

Published: August 2023

View article titled, Symbolic regression via neural networks

Journal Articles

Machine learning enhanced Hankel dynamic-mode decomposition

Christopher W. Curtis, D. Jay Alford-Lago, Erik Bollt, Andrew Tuma

Chaos 33, 083133 (2023)

https://doi.org/10.1063/5.0150689

Published: August 2023

View article titled, Machine learning enhanced Hankel dynamic-mode decomposition

Journal Articles

Framework for global stability analysis of dynamical systems

George Datseris, Kalel Luiz Rossi, Alexandre Wagemakers

Chaos 33, 073151 (2023)

https://doi.org/10.1063/5.0159675

Published: July 2023

View article titled, Framework for global stability analysis of dynamical systems

Journal Articles

Koopman analysis of the periodic Korteweg–de Vries equation

Jeremy P. Parker, Claire Valva

Chaos 33, 043102 (2023)

https://doi.org/10.1063/5.0137088

Published: April 2023

View article titled, Koopman analysis of the periodic Korteweg–de Vries equation

Includes: Supplementary data

NARROW

Topics

Distributed optimization consensus for multi-agent systems on matrix-weighted networks

Shortest path counting in complex networks based on powers of the adjacency matrix

Symbolic extended dynamic mode decomposition

Non-intrusive reduced-order model for time-dependent stochastic partial differential equations utilizing dynamic mode decomposition and polynomial chaos expansion

Distributed Nash equilibrium seeking in noncooperative game with partial decision information of neighbors

A memory-based spatial evolutionary game with the dynamic interaction between learners and profiteers

Sleep-stage dependence and co-existence of cardio-respiratory coordination and phase synchronization

Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches

Optimizing parameter search for community detection in time-evolving networks of complex systems

Influence maximization based on threshold models in hypergraphs

Data-driven modelling of brain activity using neural networks, diffusion maps, and the Koopman operator

Boltzmann–Shannon interaction entropy: A normalized measure for continuous variables with an application as a subsample quality metric

Transient power dynamics in nematic electroconvection

Exploring the free-energy landscape of a rotating superfluid

Estimating fractal dimensions: A comparative review and open source implementations

Visibility graph-based segmentation of multivariate time series data and its application

Symbolic regression via neural networks

Machine learning enhanced Hankel dynamic-mode decomposition

Framework for global stability analysis of dynamical systems

Koopman analysis of the periodic Korteweg–de Vries equation

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