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Wai Shing Lee

Researcher at University of Maryland, College Park

Publications -  6
Citations -  235

Wai Shing Lee is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Coherent states & Nonlinear system. The author has an hindex of 5, co-authored 6 publications receiving 215 citations.

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Large coupled oscillator systems with heterogeneous interaction delays.

TL;DR: In this article, a modification of the Kuramoto model incorporating a distribution of interaction delays is proposed to discover generic effects of heterogeneous communication delays on the dynamics of large systems of coupled oscillators.
Journal ArticleDOI

Dynamics and pattern formation in large systems of spatially-coupled oscillators with finite response times

TL;DR: In this paper, the authors consider systems of many spatially distributed phase oscillators that interact with their neighbors, and they reduce the microscopic dynamics of these systems to a macroscopic partial-differential-equation description.
Journal ArticleDOI

Dynamics and Pattern Formation in Large Systems of Spatially-Coupled Oscillators with Finite Response Times

TL;DR: Using the ansatz of Ott and Antonsen and adopting a strategy similar to that employed in the recent work of Laing, this work numerically finds that finite oscillator response time leads to interesting spatiotemporal dynamical behaviors including propagating fronts, spots, target patterns, chimerae, spiral waves, etc.
Journal ArticleDOI

Phase and amplitude dynamics in large systems of coupled oscillators: growth heterogeneity, nonlinear frequency shifts, and cluster states.

TL;DR: It is proven that at large coupling strength, if the nonlinear frequency shift parameter is below a certain value, then there is a unique attractor for which the oscillators all clump at a single amplitude and uniformly rotating phase (the authors call this a single-cluster "locked state").
Posted Content

Large coupled oscillator systems with heterogeneous interaction delays

TL;DR: This Letter studies a modification of the Kuramoto model incorporating a distribution of interaction delays and finds that spread in the distribution function of delays can greatly alter the system dynamics.