2021
DOI: 10.1038/s41467-021-27382-6
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Vortex clustering, polarisation and circulation intermittency in classical and quantum turbulence

Abstract: The understanding of turbulent flows is one of the biggest current challenges in physics, as no first-principles theory exists to explain their observed spatio-temporal intermittency. Turbulent flows may be regarded as an intricate collection of mutually-interacting vortices. This picture becomes accurate in quantum turbulence, which is built on tangles of discrete vortex filaments. Here, we study the statistics of velocity circulation in quantum and classical turbulence. We show that, in quantum flows, Kolmog… Show more

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Cited by 31 publications
(26 citation statements)
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“…In this regime a thermal counterflow is believed to play an important role in the dynamics. This scaling was also found in numerical simulations with counterflow [15,16], but more intriguingly, also more recently in simulations of BECs with an initial array of ordered vortices and no apparent counterflow [17,18], as well as in simulations of homogeneous superfluid turbulence [19].…”
Section: Introductionsupporting
confidence: 67%
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“…In this regime a thermal counterflow is believed to play an important role in the dynamics. This scaling was also found in numerical simulations with counterflow [15,16], but more intriguingly, also more recently in simulations of BECs with an initial array of ordered vortices and no apparent counterflow [17,18], as well as in simulations of homogeneous superfluid turbulence [19].…”
Section: Introductionsupporting
confidence: 67%
“…A k −1 scaling has been associated before to the presence of a counterflow [12], to flux-less solutions [43], or to disorganized vortex tangles [19,44]. In our case, the flux of energy towards small scales in the presence of rotation is substantially decreased, as evidenced by the accumulation of energy at large scales, and also by direct computation of the flux (not shown).…”
Section: B the Direct Cascade Subrangesupporting
confidence: 62%
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“…More recently, considerable hardware improvements have enabled the implementation of DNS at much higher Reynolds numbers, so that a vivid interest in the problem of turbulent circulation statistics has resurfaced in the literature [10][11][12][13][14][15], even driving further perspectives in the understanding of quantum turbulence [16,17]. The deadlock of numerical issues was broken by a computational tour de force performed by Iyer et al [10,14], who have identified a number of relevant statistical aspects of the turbulent circulation Γ, summarized as follows: (i) Exponents of its statistical moments depart more clearly from the Kolmogorovian-like predicted values at high orders, where they become linearly dependent on the moment orders;…”
Section: Introductionmentioning
confidence: 99%