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Journal Articles

Multi-scaling reservoir computing learns noise-induced transitions with Lévy noise

Zequn Lin, Jürgen Kurths, Ying Tang

Chaos 35, 073132 (2025)

https://doi.org/10.1063/5.0278558

Published: July 2025

View article titled, Multi-scaling reservoir computing learns noise-induced transitions with Lévy noise

Journal Articles

Statistical complexity as indicator of the classical–quantum crossover

M. Escobar, F. Pennini, A. Plastino

Chaos 35, 073124 (2025)

https://doi.org/10.1063/5.0274274

Published: July 2025

View article titled, Statistical complexity as indicator of the classical–quantum crossover

Journal Articles

Optimal response for stochastic differential equations by local kernel perturbations

Gianmarco Del Sarto, Stefano Galatolo, Sakshi Jain

Chaos 35, 073121 (2025)

https://doi.org/10.1063/5.0265433

Published: July 2025

View article titled, Optimal response for stochastic differential equations by local kernel perturbations

Journal Articles

Reset induced multimodality in unbounded potential

Karol Capała

Chaos 35, 073106 (2025)

https://doi.org/10.1063/5.0274016

Published: July 2025

View article titled, Reset induced multimodality in unbounded potential

Journal Articles

Anosov properties of a symplectic map with time-reversal symmetry

Ken-ichi Okubo, Ken Umeno

Chaos 35, 073108 (2025)

https://doi.org/10.1063/5.0248135

Published: July 2025

View article titled, Anosov properties of a symplectic map with time-reversal symmetry

Journal Articles

Improving the noise estimation of latent neural stochastic differential equations

L. Heck, M. Gelbrecht, M. T. Schaub, N. Boers

Chaos 35, 063139 (2025)

https://doi.org/10.1063/5.0257224

Published: June 2025

View article titled, Improving the noise estimation of latent neural stochastic differential equations

Journal Articles

Global patterns of extreme temperature teleconnections using climate network analysis

Yuhao Feng, Jun Meng, Jingfang Fan

Chaos 35, 061106 (2025)

https://doi.org/10.1063/5.0276151

Published: June 2025

View article titled, Global patterns of extreme temperature teleconnections using climate network analysis

Journal Articles

Empirical study and model of warfare dynamics: Willingness to risk

Boris Podobnik, Luka Medvidovic, Dorian Wild, Stefano Boccaletti

Chaos 35, 063123 (2025)

https://doi.org/10.1063/5.0277615

Published: June 2025

View article titled, Empirical study and model of warfare dynamics: Willingness to risk

Journal Articles

Rare events in a stochastic vegetation–water dynamical system based on machine learning

Yang Li, Shenglan Yuan, Shengyuan Xu

Chaos 35, 063117 (2025)

https://doi.org/10.1063/5.0268331

Published: June 2025

View article titled, Rare events in a stochastic vegetation–water dynamical system based on machine learning

Journal Articles

Power law distribution and multi-scale analysis in Earth sciences, finance, and other fields: Some guidelines to parameter estimation

Vincenzo Guerriero, Marco Tallini

Chaos 35, 063102 (2025)

https://doi.org/10.1063/5.0259215

Published: June 2025

View article titled, Power law distribution and multi-scale analysis in Earth sciences, finance, and other fields: Some guidelines to parameter estimation

Journal Articles

A compounded Burr probability distribution for fitting heavy-tailed data with applications to biological networks

Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das, Shraddha M. Naik, Chittaranjan Hens

Chaos 35, 061103 (2025)

https://doi.org/10.1063/5.0270403

Published: June 2025

View article titled, A compounded Burr probability distribution for fitting heavy-tailed data with applications to biological networks

Journal Articles

A statistical learning approach to Mediterranean cyclones

L. Roveri, L. Fery, L. Cavicchia, F. Grotto

Chaos 35, 053127 (2025)

https://doi.org/10.1063/5.0241107

Published: May 2025

View article titled, A statistical learning approach to Mediterranean cyclones

Journal Articles

Reconstructing and predicting stochastic dynamical systems using probabilistic deep learning

Yuan Lin, Zhen Jin

Chaos 35, 053102 (2025)

https://doi.org/10.1063/5.0248312

Published: May 2025

View article titled, Reconstructing and predicting stochastic dynamical systems using probabilistic deep learning

Journal Articles

Tipping mechanisms in a carbon cycle model

Katherine Slyman, Emmanuel Fleurantin, Christopher K. R. T. Jones

Chaos 35, 053104 (2025)

https://doi.org/10.1063/5.0241550

Published: May 2025

View article titled, Tipping mechanisms in a carbon cycle model

Journal Articles

Cover times with stochastic resetting

Samantha Linn, Sean D. Lawley

Chaos 35, 043124 (2025)

https://doi.org/10.1063/5.0260643

Published: April 2025

View article titled, Cover times with stochastic resetting

Journal Articles

Beyond nearest-neighbor universality of spectral fluctuations in quantum chaotic and complex many-body systems

Debojyoti Kundu, Santosh Kumar, Subhra Sen Gupta

Chaos 35, 043122 (2025)

https://doi.org/10.1063/5.0234333

Published: April 2025

View article titled, Beyond nearest-neighbor universality of spectral fluctuations in quantum chaotic and complex many-body systems

Journal Articles

Machine learning for complex systems with abnormal pattern by exception maximization outlier detection

Zhikun Zhang, Yiting Duan, Xiangjun Wang, Mingyuan Zhang

Chaos 35, 043126 (2025)

https://doi.org/10.1063/5.0250852

Published: April 2025

View article titled, Machine learning for complex systems with abnormal pattern by exception maximization outlier detection

Journal Articles

Self-organizing network simulation of cardiac electrical dynamics

Runsang Liu, Hui Yang

Chaos 35, 041102 (2025)

https://doi.org/10.1063/5.0261019

Published: April 2025

View article titled, Self-organizing network simulation of cardiac electrical dynamics

Journal Articles

Sensitivity analysis of cardiac alternans in electrophysiology cell models: A Monte Carlo filtering approach

R. B. Pigozzo, R. W. dos Santos, B. M. Rocha

Chaos 35, 043111 (2025)

https://doi.org/10.1063/5.0258095

Published: April 2025

View article titled, Sensitivity analysis of cardiac alternans in electrophysiology cell models: A Monte Carlo filtering approach

Journal Articles

Controlled erasure as a building block for universal thermodynamically robust superconducting computing

Christian Z. Pratt, Kyle J. Ray, James P. Crutchfield

Chaos 35, 043112 (2025)

https://doi.org/10.1063/5.0227130

Published: April 2025

View article titled, Controlled erasure as a building block for universal thermodynamically robust superconducting computing

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Multi-scaling reservoir computing learns noise-induced transitions with Lévy noise

Statistical complexity as indicator of the classical–quantum crossover

Optimal response for stochastic differential equations by local kernel perturbations

Reset induced multimodality in unbounded potential

Anosov properties of a symplectic map with time-reversal symmetry

Improving the noise estimation of latent neural stochastic differential equations

Global patterns of extreme temperature teleconnections using climate network analysis

Empirical study and model of warfare dynamics: Willingness to risk

Rare events in a stochastic vegetation–water dynamical system based on machine learning

Power law distribution and multi-scale analysis in Earth sciences, finance, and other fields: Some guidelines to parameter estimation

A compounded Burr probability distribution for fitting heavy-tailed data with applications to biological networks

A statistical learning approach to Mediterranean cyclones

Reconstructing and predicting stochastic dynamical systems using probabilistic deep learning

Tipping mechanisms in a carbon cycle model

Cover times with stochastic resetting

Beyond nearest-neighbor universality of spectral fluctuations in quantum chaotic and complex many-body systems

Machine learning for complex systems with abnormal pattern by exception maximization outlier detection

Self-organizing network simulation of cardiac electrical dynamics

Sensitivity analysis of cardiac alternans in electrophysiology cell models: A Monte Carlo filtering approach

Controlled erasure as a building block for universal thermodynamically robust superconducting computing

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