J
Jean-Luc Thiffeault
Researcher at University of Wisconsin-Madison
Publications - 155
Citations - 3590
Jean-Luc Thiffeault is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Braid & Chaotic mixing. The author has an hindex of 34, co-authored 147 publications receiving 3207 citations. Previous affiliations of Jean-Luc Thiffeault include University of Minnesota & Columbia University.
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Journal ArticleDOI
Frontiers of chaotic advection
Hassan Aref,John Blake,Marko Budišić,Silvana S. S. Cardoso,Julyan H. E. Cartwright,Herman Clercx,Kamal El Omari,Ulrike Feudel,Ramin Golestanian,Emmanuelle Gouillart,GertJan van Heijst,Tatyana S. Krasnopolskaya,Yves Le Guer,Robert S. MacKay,Vyacheslav V. Meleshko,Guy Metcalfe,Igor Mezic,Alessandro P. S. de Moura,Oreste Piro,Michel F.M. Speetjens,Rob Sturman,Jean-Luc Thiffeault,Idan Tuval +22 more
TL;DR: In this article, the present position of and survey future perspectives in the physics of chaotic advection: the field that emerged three decades ago at the intersection of fluid mechanics and nonlinear dynamics, which encompasses a range of applications with length scales ranging from micrometers to hundreds of kilometers.
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Optimal stirring strategies for passive scalar mixing
TL;DR: In this article, the authors address the challenge of optimal incompressible stirring to mix an initially inhomogeneous distribution of passive tracers, and derive absolute limits on the total amount of mixing, as a function of time, on a periodic spatial domain with a prescribed instantaneous stirring energy or stirring power budget.
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Stirring by squirmers
TL;DR: In this article, a simple Stokesian squirmer model for the enhanced mixing due to swimming micro-organisms is proposed, where the largest contributions to particle displacement, and hence to mixing, arise from random changes of direction of swimming and are dominated by the far-field stresslet term.
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Using multiscale norms to quantify mixing and transport
TL;DR: In this article, the authors present a multiscale norm for mixing and show how it can be used to optimize the stirring and mixing of a decaying passive scalar in a continuous replenished scalar field, where flows that optimally reduce the norms are associated with transport rather than mixing.
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Detecting coherent structures using braids
TL;DR: This work introduces a topological method for detecting invariant regions based on a small set of trajectories, which regard the two-dimensional trajectory data as a braid in three dimensions, with time being the third coordinate.