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Sanjeeva Balasuriya

Researcher at University of Adelaide

Publications -  67
Citations -  870

Sanjeeva Balasuriya is an academic researcher from University of Adelaide. The author has contributed to research in topics: Flow (mathematics) & Lyapunov exponent. The author has an hindex of 17, co-authored 65 publications receiving 770 citations. Previous affiliations of Sanjeeva Balasuriya include Connecticut College & Aarhus University.

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Generalized Lagrangian coherent structures

TL;DR: In this article, the concept of Lagrangian Coherent Structure (LCS) is generalized to capture coherence in other quantities of interest that are transported by, but not fully locked to, the fluid.
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Optimal perturbation for enhanced chaotic transport

TL;DR: In this paper, the optimal chaotic flux is derived for two-dimensional and three-dimensional flows using the Melnikov function and lobe dynamics, and a concise bound on this flux is presented in terms of the supremum norm of the normal component of the perturbing velocity, and the size of the heteroclinic manifold.
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Influences of Allee effects in the spreading of malignant tumours

TL;DR: In this paper, the authors present a mathematical model of tumour invasion that incorporates the Allee effect, based on analysis of the existence of travelling wave solutions to this model, which is an improvement on previous models of its kind.
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Melnikov theory for finite-time vector fields

TL;DR: In this article, the authors adapted Melnikov theory to vector fields that are defined over sufficiently large, but finite, time intervals, which is desirable when investigating Lagrangian trajectories in fluid flows under the effect of viscous perturbations.
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Viscous perturbations of vorticity-conserving flows and separatrix splitting

TL;DR: In this paper, the effect of the breaking of vorticity conservation by viscous dissipation on transport in the underlying fluid flow is examined and a simple expression for the leading-order distance between perturbed invariant (stable and unstable) manifolds is derived.