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20152025
most citedAnticipating synchronization with machine learning

79 citations · 248 across the 19 of their papers we have counts for

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6 papers · 1 filter

nlin.AO2024

Scalable synchronization cluster in networked chaotic oscillators

Huawei Fan, Yafeng Wang, Yao Du +2

Cluster synchronization in synthetic networks of coupled chaotic oscillators is investigated. It is found that despite the asymmetric nature of the network structure, a subset of t…

nlin.AO2023★ 8 cited

Inferring synchronizability of networked heterogenous oscillators with machine learning

Liang Wang, Huawei Fan, Yafeng Wang +4

In the study of network synchronization, an outstanding question of both theoretical and practical significance is how to allocate a given set of heterogenous oscillators on a comp…

nlin.AO2021

Learning the dynamics of coupled oscillators from transients

Huawei Fan, Liang Wang, Yao Du +3

Whereas the importance of transient dynamics to the functionality and management of complex systems has been increasingly recognized, most of the studies are based on models. Yet i…

nlin.AO2021★ 79 cited

Anticipating synchronization with machine learning

Huawei Fan, Ling-Wei Kong, Ying-Cheng Lai +1

In applications of dynamical systems, situations can arise where it is desired to predict the onset of synchronization as it can lead to characteristic and significant changes in t…

nlin.AO2021★ 19 cited

Eigenvector-based analysis of cluster synchronization in general complex networks of coupled chaotic oscillators

Huwei Fan, Xingang Wang

While symmetry has been exploited to analyze synchronization patterns in complex networks, the identification of symmetries in large-size network remains as a challenge. We present…

nlin.AO2016

Growth, collapse, and self-organized criticality in complex networks

Yafeng Wang, Huawei Fan, Ying-Cheng Lai +1

To understand how certain dynamical behaviors can or cannot persist as the underlying network grows is a problem of increasing importance in complex dynamical systems as well as su…