Chaos: An interdisciplinary journal of nonlinear science

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  Año 2019, Vol. 29, Número 11

  • Optimal ratchet current for elastically interacting particles

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

    

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

    A. A. Emelianova, Vladimir I. Nekorkin

    

  • Environmental feedback promotes the evolution of cooperation in the structured populations

    Yu'e Wu, Zhipeng Zhang, Ming Yan, Shuhua Zhang

    

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

    Bálint Kaszás, Tímea Haszpra, Mátyás Herein

    

  • Large-deviations of the basin stability of power grids

    Yannick Feld, Alexander K. Hartmann

    

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

    Yu Yao, Zeqing Li, Junhui Zhao, Lenan Wu

    

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

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

    

  • Learning epidemic threshold in complex networks by Convolutional Neural Network

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

    

  • The β Fermi-Pasta-Ulam-Tsingou recurrence problem

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

    

  • 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

    

  • Impact of network topology on the stability of DC microgrids

    J. F. Wienand, D. Eidmann, J. Kremers, Jobst Heitzig, Frank Hellmann, J. Kurths

    

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

    Zengqiang Chen, Runfang Wang, Zhongxin Liu

    

  • Machine learning algorithms for predicting the amplitude of chaotic laser pulses

    Pablo Amil, Miguel C. Soriano, Cristina Masoller Alonso

    

  • Classification of close binary stars using recurrence networks

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

    

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

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

    

  • Adaptive willingness resolves social dilemma in network populations

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

    

  • 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

    

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

    Oleg Gendelman, Pavel Kravetc, Dmitrii Rachinskii

    

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

    J. Bourne, A. O'Sullivan, E. Arcaute

    

  • Inferring causal relationship in coordinated flight of pigeon flocks

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

    

  • Predicting slow and fast neuronal dynamics with machine learning

    Rosangela Follmann, Epaminondas Jr. Rosa

    

  • Learning the tangent space of dynamical instabilities from data

    Antoine Blanchard, Themistoklis P. Sapsis

    

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

    Damoun Langary, Zoran Nikoloski

    

  • Timing and shape of stochastic autocatalytic burst formation

    A. Jamieson-Lane, Eric N. Cytrynbaum

    

  • Misinformation spreading on correlated multiplex networks

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

    

  • Dynamic pilot wave bound states

    Troy Shinbrot

    

  • ChaosNet: A chaos based artificial neural network architecture for classification

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

    

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

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

    

  • Linear response for macroscopic observables in high-dimensional systems

    Caroline L. Wormell, George A. Gottwald

    

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

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