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The dynamics of small-scale structures in free-surface turbulence is crucial to large-scale phenomena in natural and industrial environments. Here, we conduct experiments on the quasi-flat free surface of a zero-mean-flow turbulent water tank over the Reynolds number range $Re_{\lambda } = 207$–312. By seeding microscopic floating particles at high concentrations, the fine scales of the flow and the velocity-gradient tensor are resolved. A kinematic relation is derived expressing the contribution of surface divergence and vorticity to the dissipation rate. The probability density functions of divergence, vorticity and strain rate collapse once normalised by the Kolmogorov scales. Their magnitude displays strong intermittency and follows chi-square distributions with power-law tails at small values. The topology of high-intensity events and two-point statistics indicate that the surface divergence is characterised by dissipative spatial and temporal scales, while the high-vorticity and high-strain-rate regions are larger, long-lived, concurrent and elongated. The second-order velocity structure functions obey the classic Kolmogorov scaling in the inertial range when the dissipation rate on the surface is considered, with a different numerical constant than in three-dimensional turbulence. The cross-correlation among divergence, vorticity and strain rate indicates that the surface-attached vortices are strengthened during downwellings and diffuse when those dissipate. Sources (sinks) in the surface velocity fields are associated with strong (weak) surface-parallel stretching and compression along perpendicular directions. The floating particles cluster over spatial and temporal scales larger than those of the sinks. These results demonstrate that, compared with three-dimensional turbulence, in free-surface turbulence the energetic scales leave a stronger imprint on the small-scale quantities.
Chapter 2 shows how the discreteness that sets the stage for discontinuous quantum jumps between a restricted set of states is a consequence of the symmetry breaking that resolves the tension between the unitarity of quantum evolutions, and repeatable information transfer (the essence of quantum Darwinism, the subject of Chapters 7 and 8). Chapter 2 shows that, while the quantum superposition principle declares that every superposition is an equally legal quantum state, repeatability restricts states that can be recorded (found out) multiple times to an orthogonal set determined by the unitary dynamics of the process responsible for the repeated information transfer (i.e., for amplification). Such states persist and can imprint the evidence of their continued presence in other systems, e.g., on the subsystems of the environment. They become the elements of objective reality—e.g., outcomes of the measurements we perceive. Moreover, Chapter 2 motivates the need for the derivation of the probabilities of measurements (to be carried out in Chapter 3).
Chapter 1 begins by re-examining the textbook quantum postulates. It concludes with the realization that some of them are inconsistent with quantum mathematics, but also that they may not have to be postulated. Indeed, in the following two chapters it is shown that their consequences follow from the other, consistent postulates. This simplification of the quantum foundations provides a consistent, convenient, and solid starting point. The emergence of the classical from the quantum substrate is based on this foundation of “core quantum postulates”—the “quantum credo”. Discussion of the postulates is accompanied by a brief summary of their implications for the interpretation of quantum theory. This discussion touches on questions of interpretation that are implicit throughout the book, but will be addressed more fully in Chapter 9. Chapter 1 ends with a “decoherence primer” that provides a quick introduction to decoherence (discussed in detail in Part II). Its aim is to provide the reader with an overview of the process that will play an important role throughout the book, and to motivate Chapters 2 and 3 that lay the foundations for the physics of decoherence (Part II) as well as for quantum Darwinism, the subject of Chapters 7 and 8.
The Liebau effect generates a net flow without the need for valves. For the Liebau effect pumping phenomenon to occur, the pump must have specific characteristics. It needs tubes with different elastic properties and an actuator to provide energy to the fluid. The actuator periodically compresses the more flexible element. Furthermore, asymmetry is a crucial factor that differentiates between two pumping mechanisms: impedance pumping and asymmetric pumping. In this work, a model based on the fluid dynamics of an asymmetric valveless pump under resonant conditions is proposed to determine which parameters influence the pumped flow rate. Experimental work is used to validate the model, after which each of the parameters involved in the pump performance is dimensionlessly analysed. This highlights the most significant parameters influencing the pump performance such as the actuator period, length tube ratio and tube diameters. The results point out ways to increase a valveless asymmetric pump’s net-propelled flow rate, which has exciting applications in fields such as biomedicine. The model also allows for predicting the resonance period, a fundamental operating parameter for asymmetric pumping.
Chapter 3 describes how quantum entanglement leads to probabilities based on a symmetry, but—in contrast to subjective equal likelihood based solely on ignorance—it is an objective symmetry of known quantum states. Entanglement-assisted invariance (or envariance for short) relies on quantum correlations: One can know the quantum state of the whole and use this to quantify the resulting ignorance of the states of parts. Thus, quantum probability is, in effect, an objective consequence of the Heisenberg-like indeterminacy between global and local observables. This derivation of Born’s rule is based on the consistent subset of quantum postulates. It justifies statistical interpretation of reduced density matrices, an indispensable tool of decoherence theory. Hence, it gives one the mandate to explore—in Part II of this book—the fundamental implications of decoherence and its consequences using reduced density matrices and other customary tools.
There are two widely known interpretations of quantum theory: Bohr’s Copenhagen interpretation and Everett’s interpretation. The focus of Chapter 9 is to assess, within the context they provide, the interpretation-independent advances discussed in this book. We want to see whether the advances that include decoherence and quantum Darwinism fit these two established and widely known points of view. In fact, it is surprising that (with minor but significant adjustments) decoherence and quantum Darwinism fit very naturally, addressing questions that were recognized as open and important. We then discuss the existential interpretation. It can be seen as a continuation of the Copenhagen interpretation, with the Universe consisting of quantum and classical realms, but with classicality that is emergent, rather than preordained. It is also compatible with Everett’s interpretation, since quantum states and evolutions are all that is needed. However, unlike the Many Worlds interpretation (which regards the quantum state of the Universe as objectively existing, akin to a classical point in phase space or a classical electromagnetic field), the existential interpretation recognizes that quantum states combine information and existence—they are epiontic. The mix of existence and information they represent fits the relative states reading of Everett’s approach.
We consider the flow of a volume $\mathcal {V} = q t^\alpha$ of viscous fluid injected into a gap $H$ between two horizontal plates ($q$ and $\alpha$ are positive constants, $t$ is time). When the viscosity of the displaced fluid is negligible, the injected fluid forms a slug in contact with both plates connected (at a moving grounding line) to a gravity current (GC) with a downward-inclined interface. Hutchinson et al. (J. Fluid Mech., 598, 2023, pp. A4–1–13) considered a constant source ($\alpha = 1$) of Newtonian fluid at the center of an axisymmetric gap; the flow, governed by the parameter $J$ (the height ratio of the unconfined GC to $H$), admits a similarity solution. Here, the self-similar flow theory is (a) extended to rectangular geometry and power-law fluids, and (b) simplified. Similarity appears when $\alpha = n/(n+1)$ (two-dimensional) and $\alpha = 2n/(n+1)$ (axisymmetric), with propagation $\sim t^\beta$, where $\beta /\alpha = 1$ and $1/2$, respectively, and $n-1$ is the power of the shear in the viscosity law ($n=1$ for Newtonian fluid). The flow is governed by a single parameter $J$, representing the above-mentioned ratio. For small $J$, the GC is mostly unconfined; for large $J$, almost all the injected fluid is in contact with both boundaries of the gap. For given geometry and $n$, we solve one ordinary differential equation (ODE) for the reduced thickness over the reduced length $0\lt y \leqslant 1$, with a singular-regular condition at $y=1$. The details of the confined GC, functions of $J$, follow by simple formulae.
The Cloudy photoionization codes have been employed to study a spherically distributed cloud, around an arbitrary planetary nebula, with core temperature 105 K. The ionization factor ${\chi (H)}$ is close to unity, in the inner face of the dusty plasma (DP) cloud, which follows a monotonic declining trend, afterwards. For hydrogen density ${n_H} = 10\;\textrm{c}{\textrm{m}^{ - 3}}$, an exponentially falling trend of temperature could be noticed. A grain charging$\setminus$discharging process is also witnessed, which is very common in a DP environment. For ${n_H} = 10\;\textrm{c}{\textrm{m}^{ - 3}}$, photoionization of grains is more common due to higher photon density; compared with ${n_H} > 10\;\textrm{c}{\textrm{m}^{ - 3}}$, where the grain–electron acquiring probability is maximum, because of significant electron density. Owing to the electrostatic interactions between the charged grain and the electrons, an unusual trend in temperature has been observed.
Binding sites are key components of biomolecular structures, such as proteins and RNAs, serving as hubs for interactions with other molecules. Identification of the binding sites in macromolecules is essential for structure-based molecular and drug design. However, experimental methods for binding site identification are resource-intensive and time-consuming. In contrast, computational methods enable large-scale binding site identification, structure flexibility analysis, as well as assessment of intermolecular interactions within the binding sites. In this review, we describe recent advances in binding site identification using machine learning methods; we classify the approaches based on the encoding of the macromolecule information about its sequence, structure, template knowledge, geometry, and energetic characteristics. Importantly, we categorize the methods based on the type of the interacting molecule, namely, small molecules, peptides, and ions. Finally, we describe perspectives, limitations, and challenges of the state-of-the-art methods with an emphasis on deep learning-based approaches. These computational approaches aim to advance drug discovery by expanding the druggable genome through the identification of novel binding sites in pharmacological targets and facilitating structure-based hit identification and lead optimization.
The present study aims to provide an understanding of the influence of an afterbody on the flow-induced vibration (FIV) of cylinders. This is achieved through experimental and numerical investigations into the FIV response of a reverse-D-cross-section cylinder of aspect ratio $AR=5$. By carefully monitoring the point of flow separation to show it always occurs at the sharp top and bottom edges and never further upstream, it is demonstrated that vortex-induced vibration (VIV) can occur without an afterbody. However, for other aspect ratios, an afterbody does play a crucial role in determining the type of fluid forces responsible for sustaining VIV from low to moderate Reynolds numbers in the range $100$–$4700$. For a cylinder without an afterbody, it is found that the viscous force originating from the presence of strong compact vortices forming close to the leeward side of the cylinder is responsible for sustaining strong transverse vibration. In contrast, for a cylinder with an afterbody, the dominant force component depends on the size of the afterbody. In cylinders with a small afterbody, such as a reverse-D semi-circular cylinder, the viscous force dominates, while in cylinders with a larger afterbody such as a circular cylinder, the pressure force dominates.
Two-dimensional particle-in-cell (PIC) simulations explore the collisionless tearing instability developing in a Harris equilibrium configuration in a pair (electron–positron) plasma, with no guide field, for a range of parameters from non-relativistic to relativistic temperatures and drift velocities. Growth rates match the predictions of Zelenyi & Krasnosel'skikh (Astron. Zh., vol. 56, 1979, pp. 819–832) modified for relativistic drifts by Hoshino (Astrophys. J., vol. 900, issue 1, 2020, p. 66) as long as the assumption holds that the thickness $a$ of the current sheet is larger than the Larmor radius $\rho _L$, with the fastest growing mode at $ka \approx 1/\sqrt {3}$. Aside from confirming these predictions, we explore the transitions from thick to thin current sheets and from classical to relativistic temperatures. We show that for thinner current sheets ($a< \rho _L$), the growth rate matches the prediction for the case $a=\rho _L$. We also explore the nonlinear evolution of the modes. While the wavenumber with the fastest growth rate initially matches the prediction of Zelenyi & Krasnosel'skikh (1979), these modes saturate moving the dominant mode to lower wavenumbers (especially for thick current sheets with low growth rates). Furthermore, at a late, nonlinear stage, the growth rate (initially following the growth rate prediction proportional to $(\rho _L/a)^{3/2} < 1$) increases faster than exponentially, reaching a maximum growth rate equivalent to the linear growth rate prediction at $\rho _L/a = 1$, before eventually saturating.
The intrinsic uncertainty of fluid properties, including the equation-of-state, viscosity and thermal conductivity, on boundary layer stability has scarcely been addressed. When a fluid is operating in the vicinity of the Widom line (defined as the maximum of isobaric specific heat) in supercritical state, its properties exhibit highly non-ideal behavior, which is an ongoing research field leading to refined and more accurate fluid property databases. Upon crossing the Widom line, new mechanisms of flow instability emerge, feasibly leading to changes in dominating modes that yield turbulence. The present work investigates the sensitivity of three-dimensional boundary layer modal instability to these intrinsic uncertainties in fluid properties. The uncertainty, regardless of its source and the fluid regimes, gives rise to distortions of all profiles that constitute the inputs of the stability operator. The effect of these distortions on flow stability is measured by sensitivity coefficients, which are formulated with the adjoint operator and validated against linear modal stability analysis. The results are presented for carbon dioxide at a representative supercritical pressure of approximately 80 bar. The sensitivity to different inputs of the stability operator across various thermodynamic regimes shows an immense range of sensitivity amplitude. A balancing relationship between the density gradient and its perturbation leads to a quadratic effect across the Widom line, provoking significant sensitivity to distortions of the second derivative of the pressure with respect to the density, $\partial ^2 p/\partial \rho ^2$. From an application-oriented point of view, one important question is whether the correct baseflow profiles can be meaningfully analysed by the simplified ideal-fluid model. The integrated modal disturbance growth – the N factor calculated with different partly idealised models – indicates that the answer depends strongly on the thermodynamic regime investigated.
Explaining fast magnetic reconnection in electrically conducting plasmas has been a theoretical challenge in plasma physics since its first description by Eugene N. Parker. In recent years, the observed reconnection rate has been shown by numerical simulations to be explained by the plasmoid instability that appears in highly conductive plasmas. In this work, by studying numerically the Orszag–Tang vortex, we show that the plasmoid instability is very sensitive to the numerical resolution used. It is shown that well-resolved runs display no plasmoid instability even at Lundquist numbers as large as $5\times 10^5$ achieved at resolutions of $32\,768^2$ grid points. On the contrary, in simulations that are under-resolved below a threshold, the plasmoid instability manifests itself with the formation of larger plasmoids the larger the under-resolving is. The present results thus emphasize the importance of performing convergence tests in numerical simulations and suggest that further investigations on the nonlinear evolution of the plasmoid instability are required.
We investigate viscous dissipation in linear flows driven by small-amplitude longitudinal librations in rotating fluid spheres focusing on the rapid rotation regime applicable to planets. Viscous coupling can resonate with inertial modes in the bulk of the fluid when the frequency of the forcing is within the range $(0,2\Omega _0)$, where $\Omega _0$ is the mean angular velocity of the sphere. We solve the linearised equations of motion with a semi-spectral numerical method and with an asymptotic expansion exploiting the small Ekman number, $E$, which quantifies the strength of viscous forces relative to the Coriolis force. Our results confirm that the dominant contribution to the dissipation occurs in the Ekman boundary layer with leading-order scaling $E^{1/2}$. When the forcing frequency coincides with that of an inertial mode, dissipation is reduced by as much as 9 % compared with boundary layer theory alone. The percentage-wise reduction is independent of $E$ and the frequency width of the reduction envelope scales as $E^{1/2}$. At non-resonant frequencies conic shear layers develop in the bulk interior and, together with the Ekman layer bulge at critical latitude, slightly enhance dissipation. We confirm critical latitude bulge and shear layer contributions to the overall dissipation scale as $E^{4/5}$ and $E^{6/5}$ respectively, becoming negligible compared with dissipation in the main boundary layer as $E\rightarrow 0$. The frequencies at which the dissipation enhancement from critical latitude effects is maximised are displaced from the inviscid limit periodic orbit frequencies by a factor that scales with $E^{0.23}$.
We review some of the processes leading to dispersion and mixing in porous media, exploring the differences between the travel time distribution of fluid particles within a pore throat and between pore throats of different size within the porous layer. A recent paper of Liu et al. (2024) has combined a model of these travel time distributions with a continuous time random walk to quantify the dispersion as a function of the Peclet number. We describe some further problems relating to dispersive mixing of tracer which may be amenable to this approach, including dispersion caused by macroscopic lenses of different permeability, dispersion of tracer which partitions between the fluid and matrix and the effects of buoyancy on mixing.