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Thermo-responsive hydrogels are smart materials that rapidly switch between hydrophilic (swollen) and hydrophobic (shrunken) states when heated past a threshold temperature, resulting in order-of-magnitude changes in gel volume. Modelling the dynamics of this switch is notoriously difficult and typically involves fitting a large number of microscopic material parameters to experimental data. In this paper, we present and validate an intuitive, macroscopic description of responsive gel dynamics and use it to explore the shrinking, swelling and pumping of responsive hydrogel displacement pumps for microfluidic devices. We finish with a discussion on how such tubular structures may be used to speed up the response times of larger hydrogel smart actuators and unlock new possibilities for dynamic shape change.
Bubble bursting and subsequent collapse of the open cavity at free surfaces of contaminated liquids can generate aerosol droplets, facilitating pathogen transport. After film rupture, capillary waves focus at the cavity base, potentially generating fast Worthington jets that are responsible for ejecting the droplets away from the source. While extensively studied for Newtonian fluids, the influence of non-Newtonian rheology on this process remains poorly understood. Here, we employ direct numerical simulations to investigate the bubble cavity collapse in viscoelastic media, such as polymeric liquids. We find that the jet and drop formations are dictated by two dimensionless parameters: the elastocapillary number $Ec$ (the ratio of the elastic modulus and the Laplace pressure) and the Deborah number $De$ (the ratio of the relaxation time and the inertio-capillary time scale). We show that, for low values of $Ec$ and $De$, the viscoelastic liquid adopts a Newtonian-like behaviour, where the dynamics is governed by the solvent Ohnesorge number $Oh_s$ (the ratio of visco-capillary and inertio-capillary time scales). In contrast, for large values $Ec$ and $De$, the enhanced elastic stresses completely suppress the formation of the jet. For some cases with intermediate values of $Ec$ and $De$, smaller droplets are produced compared with Newtonian fluids, potentially enhancing aerosol dispersal. By mapping the phase space spanned by $Ec$, $De$ and $Oh_s$, we reveal three distinct flow regimes: (i) jets forming droplets, (ii) jets without droplet formation and (iii) absence of jet formation. Our results elucidate the mechanisms underlying aerosol suppression versus fine spray formation in polymeric liquids, with implications for pathogen transmission and industrial processes involving viscoelastic fluids.
The Atlas of Minerals and Igneous and Metamorphic Rocks in Thin-Section provides the geology student and geoscientist with a stunning new color atlas of the main rock-forming minerals and igneous and metamorphic rocks in thin-section. It showcases minerals in various settings and degrees of alteration and preservation to allow users to best identify their own specimens in practice. Chapter 1 highlights the distinctive characteristics used to identify different minerals. Building on this base, following chapters describe rock textures and types, summarizing their petrogenesis within a plate tectonic framework. This book also includes insights into how additional information from petrographic thin-sections can be obtained using modern analytical methods to increase our understanding of geological processes. The Atlas is an indispensable reference textbook for all facilities that use a petrographic microscope, for professional geoscientists, and as an aid for any student studying minerals and rocks.
The Cahn–Hilliard–Navier–Stokes (CHNS) partial differential equations (PDEs) provide a powerful framework for the study of the statistical mechanics and fluid dynamics of multiphase fluids. We provide an introduction to the equilibrium and non-equilibrium statistical mechanics of systems in which coexisting phases, distinguished from each other by scalar order parameters, are separated by an interface. We then introduce the coupled CHNS PDEs for two immiscible fluids and generalisations for (i) coexisting phases with different viscosities, (ii) CHNS with gravity, (iii) three-component fluids and (iv) the CHNS for active fluids. We discuss mathematical issues of the regularity of solutions of the CHNS PDEs. Finally we provide a survey of the rich variety of results that have been obtained by numerical studies of CHNS-type PDEs for diverse systems, including bubbles in turbulent flows, antibubbles, droplet and liquid-lens mergers, turbulence in the active-CHNS model and its generalisation that can lead to a self-propelled droplet.
This investigation examines the dynamic response of an accelerating turbulent pipe flow using direct numerical simulation data sets. A low/high-pass Fourier filter is used to investigate the contribution and time dependence of the large-scale motions (LSM) and the small-scale motions (SSM) into the transient Reynolds shear stress. Additionally, it analyses how the LSM and SSM influence the mean wall shear stress using the Fukagata–Iwamoto–Kasagi identity. The results reveal that turbulence is frozen during the early flow excursion. During the pretransition stage, energy growth of the LSM and a subtle decay in the SSM is observed, suggesting a laminarescent trend of SSM. The transition period exhibits rapid energy growth in the SSM energy spectrum at the near-wall region, implying a shift in the dominant contribution from LSM to SSM to the frictional drag. The core-relaxation stage shows a quasisteady behaviour in large- and small-scale turbulence at the near-wall region and progressive growth of small- and large-scale turbulence within the wake region. The wall-normal gradient of the Reynolds shear stress premultiplied energy cospectra was analysed to understand how LSM and SSM influence the mean momentum balance across the different transient stages. A relevant observation is the creation of a momentum sink produced at the buffer region in large- and very large-scale (VLSM) wavelengths during the pretransition. This sink region annihilates a momentum source located in the VLSM spectrum and at the onset of the logarithmic region of the net-force spectra. This region is a source term in steady wall-bounded turbulence.
Aerosol-cloud interactions contribute significant uncertainty to modern climate model predictions. Analysis of complex observed aerosol-cloud parameter relationships is a crucial piece of reducing this uncertainty. Here, we apply two machine learning methods to explore variability in in-situ observations from the NASA ACTIVATE mission. These observations consist of flights over the Western North Atlantic Ocean, providing a large repository of data including aerosol, meteorological, and microphysical conditions in and out of clouds. We investigate this dataset using principal component analysis (PCA), a linear dimensionality reduction technique, and an autoencoder, a deep learning non-linear dimensionality reduction technique. We find that we can reduce the dimensionality of the parameter space by more than a factor of 2 and verify that the deep learning method outperforms a PCA baseline by two orders of magnitude. Analysis in the low dimensional space of both these techniques reveals two consistent physically interpretable regimes—a low pollution regime and an in-cloud regime. Through this work, we show that unsupervised machine learning techniques can learn useful information from in-situ atmospheric observations and provide interpretable results of low-dimensional variability.
This paper discusses the propagation of coastal currents generated by a river outflow using a 1 ${1}/{2}$-layer, quasigeostrophic model, following Johnson et al. (2017) (JSM17). The model incorporates two key physical processes: Kelvin-wave-generated flow and vortical advection along the coast. We extend JSM17 by deriving a fully nonlinear, long-wave, dispersive equation governing the evolution of the coastal current width. Numerical solutions show that, at large times, the flow behaviour divides naturally into three regimes: a steady outflow region, intermediate regions consisting of constant-width steady currents and unsteady propagating fronts leading the current. The widths of the steady currents depend strongly on dispersion when the constant outflow potential-vorticity anomaly is negative. Simulations using contour dynamics show that the dispersive equation captures the full quasigeostrophic behaviour more closely than JSM17 and give accurate bounds on the widths of the steady currents.
Phosphide-bearing diopside–anorthite paralava found in the distribution area of the pyrometamorphic rocks of the Hatrurim Complex in Jordan (Daba-Siwaqa field) and Israel (Hatrurim Basin field) have yielded a large number of new phosphides and phosphates. In 2019, a small outcrop of phosphide-bearing breccia with cement composed of gehlenite–flamite paralava was discovered in the Hatrurim Basin. A new pyrophosphate, yamhamelachite, KCrP2O7 (P21/c, a = 7.3574(3), b = 9.9336(4), c = 8.1540(4) Å, β = 106.712(5)°, V = 570.77(5) Å3 and Z = 4), occurs at the phosphide-enriched boundary between an altered sedimentary xenolith and the gehlenite–flamite paralava. Yamhamelachite forms green aggregates in which the size of grains does not exceed 25–30 μm. The mineral is transparent with a glassy lustre. Yamhamelachite is brittle with conchoidal fracture. Mohs hardness = 4. The empirical formula of yamhamelachite calculated on the basis of average microprobe analyses is (K0.89Ca0.01□0.10)Σ1.00 Cr3+0.50V3+0.33Al0.15Fe3+0.04 Ti4+0.03)Σ1.05P1.98O7. The density calculated from the empirical formula and structural data is 3.035 g·cm–3. Cr3+ in yamhamelachite is substituted by V3+, and in a few cases V is marginally more abundant than Cr, indicating the presence of a potentially new mineral with the formula KVP2O7. Yamhamelachite consists of layers of Cr3+-octahedra and pyrophosphate groups connected at their apices, and potassium located within channels parallel to [001]. A characteristic feature of phosphide aggregates associated with yamhamelachite is the presence of two generations of barringerite, the earlier of which has higher Cr and V content. In the general crystallisation sequence, yamhamelachite appears after phosphides (+pyrrhotite and daubréelite) and then spinels of the chromite–magnetite series crystallise, along with ferromerrillite and ferroalluaudite. The source of chromium for yamhamelachite was mainly V–Cr-bearing pyrrhotite and V-bearing daubréelite. The low Fe3+ content in yamhamelachite, probably related to its late-stage alteration, indicates that it crystallised from phosphate melt under reducing conditions at ∼1000°С.
We study the evaporation dynamics of non-thin non-spherical-cap (i.e. wavy) droplets. These droplets exhibit surface curvature that varies periodically with the polar angle, which profoundly influences their evaporation flux, internal flow dynamics, and the resultant deposition patterns upon complete evaporation. The droplet is considered quasi-static throughout its entire lifetime. The asymptotic expansions of the evaporation flux in the diffusion-limited model, and the induced internal inviscid flow of the droplets, are derived through asymptotic analysis. Under the assumption of small deformation amplitudes, the accuracies of these two expansions are validated numerically. Expanding upon these asymptotic results, we also investigate the surface density profile of the droplet deposition after it dries up. The results indicate that the freely moving contact line of the droplet leads to the deposited stain exhibiting a mountain-like morphology. The internal inviscid flow along with the non-spherical-cap shape eliminates the divergence of the deposited surface density profile at droplet’s centre. This work provides a theoretical basis for geometrically controlled sessile droplet evaporation, which may have practical applications in industry.
Xiphosuran chelicerates, also known as horseshoe crabs, are a long-lived clade characterized by a highly distinctive morphology and are a classic example of supposed evolutionary stasis. One key feature of horseshoe crabs is the fusion of the opisthosomal segments into a single sclerite referred to as a thoracetron. There has been historical uncertainty as to whether the thoracetron originated once or multiple times within the clade. Here we review criteria for determining whether segments are fused and apply them to a broad census of taxa for which their ontogeny is known or the adult status of specimens can be reasonably asserted to explore the evolution of the thoracetron within a developmental framework. Our findings indicate that the thoracetron evolved once in the common ancestor to Xiphosura. However, subsequent independent loss of the thoracetron segment boundaries is identified and shown to be the result of heterochronic processes acting on a shared developmental pathway. The multiple cases of effacement of the thoracetron within Limuloidea are cases of peramorphically driven parallelism, while the effacement of the thoracetron in the pedomorphic Belinurina is a case of convergence. Xiphosurids therefore represent an interesting case study for recognizing parallelism and convergence on the same structure within closely related lineages. We also demonstrate that somite VII has been incorporated into the prosoma multiple times within the chelicerate lineage, which has implications for interpreting the ground pattern of the group.
This research investigated the potential improvement of IVR on procedural practical knowledge in maritime safety education in a lifeboat case study. Participants were divided into three groups: a VR, control and VR+ group. A practical test exam with a real lifeboat was conducted to evaluate the differences in number of students passed/failed and overall performances in the execution of lifeboat launching procedures between groups. There was no evidence that the VR students had a higher success rate than students in the control group in correctly and safely performing a lifeboat drill. However, VR students’ overall performances on procedural correctness were significantly better than those of the control group, despite that the VR students never practiced with a physical lifeboat. Given the importance of safety in the maritime industry, it is worthwhile to further investigate to what extent IVR can provide a solution to the current limitations in maritime safety education.
Perhaps no scientific question has been more widely considered across the span of human history as the age of Earth. The question, “How long has this planet been here?” dovetails quite reasonably into, “How long have we been here?” and so the problem of geochronology is essential to much more than just rocks. Whether we consider this problem from Earth or from outer space (Figure 4.1), the issue remains essential.
In Chapter 5 we introduced the evidence that at the end of the Paleozoic Era most of the Earth’s continents were joined together, forming the supercontinent Pangea, which in Latin translates as “whole mother-Earth land.” The formation of the Atlantic and Indian oceans primarily records the subsequent breakup of Pangea and led to the hypothesis of continental drift. Although continental drift seemed like a viable mechanism to create new oceans, until we had a full understanding of the Wadati–Benioff subduction zones, where oceans were being destroyed (see Chapter 5), it was reasonable to consider alternate hypotheses.
It’s hard these days to avoid dinosaurs. Kids’ bedrooms are commonly full of toy dinosaurs, tourist spots like Niagara Falls feature dinosaur mini-golf (Figure 12.1), and the Jurassic Park movie franchise continues to delight many movie goers. Most readers of this book probably had both toys and books about dinosaurs growing up. These depictions, as well as more scientific documentaries such as the BBC series Walking with Dinosaurs, consistently show them as quick, smart, agile, and above all, dangerous, but this view of dinosaurs is actually quite recent. This chapter focuses on the evolution and lifestyles of dinosaurs that dominated the Mesozoic Era.
It was during the time of the Greek philosopher Aristotle (384–322 BC) that someone may have first argued that rocks can be viewed as recorders of ancient environments, although just how ancient was still not clearly understood in his time. By walking along the seashore and observing the types of sediments present and the various organisms living there, philosophers as early as Aristotle were able to deduce that the rocks which made up the landscape shared many characteristics of the modern ocean. From this, Aristotle would argue that “where there is sea, there is at another time land.” This was perhaps the first application of the now-foundational dictum of geology: “the present is the key to the past” – the idea that we can apply our understanding of the natural world today to gain an understanding of the past. This chapter reviews some of the historical milestones and key people in the development of geological reasoning and concludes with a discussion of how modern geological science works as an academic and scientific discipline.
This chapter is specifically focused on the events that occurred at the boundary between the Mesozoic and Cenozoic eras, commonly referred to as the K–Pg extinction because it marks the boundary between the Cretaceous (K) and Paleogene (Pg) geologic periods. It is the most recent of the five mass extinctions introduced in Chapter 9 and has been a topic of considerable public interest because it also marks the end of the “Age of Dinosaurs” (see Chapter 12). The two main hypotheses for the cause of the extinction center on a giant asteroid impact and massive volcanic eruptions in India.
As the nineteenth century turned to the twentieth, the overwhelming majority of geologists thought that Earth’s great geographic variety was primarily the consequence of bodies of rock moving up and down. Put simply, mountains were places that recently moved up and oceans were places that had recently moved down. Sometimes it was suggested that regions had gone from being high to being low in several episodes. The proposed driving mechanism for these changes were cooling of the Earth and gravitational instabilities. Cooling was used to explain contraction, compression, and formation of mountain belts.
Today, glaciers are found at high latitudes, closer to the pole, or at high altitudes, typically about 4,000 meters above sea level. However, the rock record tells us that during the past two billion years, Earth has experienced several episodes in which the distribution of ice across the globe was distinctly different than the modern arrangement. Earth has experienced about eight major glacial periods throughout its history, including the current stage (Figure 8.1).
The unmanned surface vehicle (USV) is deemed with significant potential to deal with the maritime search and rescue (SAR) missions. This paper investigates the path planning of the USV with SAR tasks, and proposes a novel algorithm based on combined convolutional neural network rapid-exploration random tree and improved artificial potential field (CRRT-IAPF). The proposed scheme can be divided into the global and the local path plannings. The rapid-exploration random tree (RRT) method is employed to generate the global path in the sea chart, which is further discriminated to be optimal or non-optimal through a well-trained convolutional neural network (CNN). The artificial potential field (APF) method is adopted to plan the local path in the environment with small obstacles and SAR task points. To facilitate the path convergence and avoid the oscillation, the potential field function is improved in a more efficient way. In addition, the evaluation functions of search success rate and rescue success rate are established to evaluate the completeness of SAR tasks. Through the simulation, it is verified that the proposed CRRT-IAPF scheme has the superiority over the others.