Xinliang Xu's research while affiliated with Beijing Computational Science Research Center and other places

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Publications (35)


Thermodynamic Effects Are Essential for Surface Entrapment of Bacteria
  • Article

June 2024

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6 Reads

Physical Review Letters

Premkumar Leishangthem

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Xinliang Xu

The entrapment of bacteria near boundary surfaces is of biological and practical importance, yet the underlying physics is not well understood. We demonstrate that it is crucial to include a commonly neglected thermodynamic effect related to the spatial variation of hydrodynamic interactions, through a model that provides analytic explanation of bacterial entrapment in two dimensionless parameters: α1 the ratio of thermal energy to self-propulsion, and α2 an intrinsic shape factor. For α1 and α2 that match an Escherichia coli at room temperature, our model quantitatively reproduces existing experimental observations, including two key features that have not been previously resolved: The bacterial “nose-down” configuration, and the anticorrelation between the pitch angle and the wobbling angle. Furthermore, our model analytically predicts the existence of an entrapment zone in the parameter space defined by {α1,α2}.

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November 2023

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11 Reads

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Lei Xu
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Achieving adjustable elasticity with non-affine to affine transition

November 2023

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96 Reads

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2 Citations

For various engineering and industrial applications it is desirable to realize mechanical systems with broadly adjustable elasticity to respond flexibly to the external environment. Here we discover a topology-correlated transition between affine and non-affine regimes in elasticity in both two- and three-dimensional packing-derived networks. Based on this transition, we numerically design and experimentally realize multifunctional systems with adjustable elasticity. Within one system, we achieve solid-like affine response, liquid-like non-affine response and a continuous tunability in between. Moreover, the system also exhibits a broadly tunable Poisson’s ratio from positive to negative values, which is of practical interest for energy absorption and for fracture-resistant materials. Our study reveals a fundamental connection between elasticity and network topology, and demonstrates its practical potential for designing mechanical systems and metamaterials.


Realizing the multifunctional metamaterial for fluid flow in a porous medium

November 2023

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35 Reads

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2 Citations

Metamaterials are artificial materials that can achieve unusual properties through unique structures. In particular, their “invisibility” property has attracted enormous attention due to its little or negligible disturbance to the background field that avoids detection. This invisibility feature is not only useful for the optical field, but it is also important for any field manipulation that requires minimum disturbance to the background, such as the flow field manipulation inside the human body. There are several conventional invisible metamaterial designs: a cloak can isolate the influence between the internal and external fields, a concentrator can concentrate the external field to form an intensified internal field, and a rotator can rotate the internal field by a specific angle with respect to the external field. However, a multifunctional invisible device that can continuously tune across all these functions has never been realized due to its challenging requirements on material properties. Inside a porous medium flow, however, we overcome these challenges and realize such a multifunctional metamaterial. Our hydrodynamic device can manipulate both the magnitude and the direction of the internal flow and, at the same time, make negligible disturbance to the external flow. Thus, we integrate the functions of the cloak, concentrator, and rotator within one single hydrodynamic metamaterial, and such metamaterials may find potential applications in biomedical areas such as tissue engineering and drug release.


An entropic effect essential for surface entrapment of bacteria

July 2023

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24 Reads

The entrapment of bacteria near boundary surfaces is of biological and practical importance, yet the underlying physics is still not well understood. We demonstrate that it is crucial to include a commonly neglected entropic effect arising from the spatial variation of hydrodynamic interactions, through a model that provides analytic explanation of bacterial entrapment in two dimensionless parameters: $\alpha_1$ the ratio of thermal energy to self-propulsion, and $\alpha_2$ an intrinsic shape factor. For $\alpha_1$ and $\alpha_2$ that match an {\it Escherichia coli} at room temperature, our model quantitatively reproduces existing experimental observations, including two key features that have not been previously resolved: The bacterial "nose-down" configuration, and the anticorrelation between the pitch angle and the wobbling angle. Furthermore, our model analytically predicts the existence of an entrapment zone in the parameter space defined by $\{\alpha_1,\alpha_2\}$.


Molecular chaos in dense active systems

February 2023

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151 Reads

The hypothesis of molecular chaos plays the central role in kinetic theory, which provides a closure leading to the Boltzmann equation for quantitative description of classic fluids. Yet how to properly extend it to active systems is still an open question in nonequilibrium physics. Combining experiment, simulation, and theory, we investigate the emergent collective behaviors of self-propelled particles that exhibit collision avoidance, a moving strategy commonly adopted in natural and engineering active systems. This dense active system shows unusual phase dynamics strongly regulated by many-body interactions, which cannot be explained by theories assuming molecular chaos. To rationalize the interplay between different emergent phases, a simple kinetic model is proposed with a revised molecular chaos hypothesis, which treats the many-body effect implicitly via categorizing different types of particle pair collisions. Our model predicts an optimal growth rate of flocking and illustrates a generic approach for understanding dense active systems.


Fig. 1. (A) The schematic graph of a shell-shaped device with inner and outer radius a and b, respectively. The entire space is divided into three regions by the shell. (B) The 'chessboard' design based on two building blocks. The left panel shows the design in Cartesian coordinate with two building blocks denoted by black and yellow colors. The right panel shows the shell-shaped chessboard device in polar coordinate. (C-E) The configurations of the cloak, concentrator, and rotator. (F-H) The corresponding flow fields of the three devices on the left. Apparently, the cloak exhibits an inner velocity near zero, the concentrator exhibits an inner velocity higher than the background, and the rotator exhibits a significant rotation in the flow direction. At the same time, the outer streamlines remain horizontal and straight, indicating little disturbance from the device. (I-K) Corresponding pressure fields consistent with our expectation.
Fig. 2. (A) The exact design of the shell-shaped chessboard device. The homogeneous porous medium is formed by pillars with diameter d = 2 and spacing s = 3. The shell has nine layers composed by two anisotropic building blocks, A and B. The right panel shows the detailed structures of A and B. (B-D) Cloak, concentrator, and rotator. (E-G) Corresponding flow fields. (H-J) Corresponding pressure fields. (K) A continuous rotation across 120 • achieved by our rotator (−60 • < < 60 • ). Inset shows the tuning angle in each layer. (L) The velocity magnitude adjusted across one order of magnitude. The maximum corresponds to concentrator and the minimum corresponds to cloak. Inset shows the tuning angle in every other layer.
Fig. 3. (A) Fluorescence microscopy setup. (B) The Polydimethylsiloxane system and its design plot. (C-E) The snapshots of the flow streamlines in the devices of the cloak, concentrator, and rotator respectively. (F -H) The corresponding flow field within the central area labeled by the red square in (C-E). The velocity magnitude is indicated by different colors, which is obtained by large statistics on particle tracking (820 particles for cloak, 1,700 for concentrator, 550 for rotator).
Fig. 4. (A-C) Photographs of the cloak, concentrator, and rotator of the macroscopic device. These configurations are achieved by continuously rotating corresponding layers within one single device. (D-F ) The corresponding flow fields obtained by tracking tracer particles (polystyrene particles with a radius of 10 m), and the velocity magnitudes are indicated by different colors. (G-H) The front and back sides of the actual device. (I) Comparison of the rotating angle between experiment and simulation. The blue symbols are from simulation, the orange symbols are from the microfluidic device, and the red symbols are from the macroscopic device. (J) Comparison of the velocity magnitude between experiment and simulation. (K ) the velocity ratio v Exp /v Theo along the red line near the cloak (see inset). The disturbances are mostly below 10%.
Realizing the multifunctional metamaterial for fluid flow in a porous medium

November 2022

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234 Reads

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14 Citations

Proceedings of the National Academy of Sciences

Metamaterials are artificial materials that can achieve unusual properties through unique structures. In particular, their “invisibility” property has attracted enormous attention due to its little or negligible disturbance to the background field that avoids detection. This invisibility feature is not only useful for the optical field, but it is also important for any field manipulation that requires minimum disturbance to the background, such as the flow field manipulation inside the human body. There are several conventional invisible metamaterial designs: a cloak can isolate the influence between the internal and external fields, a concentrator can concentrate the external field to form an intensified internal field, and a rotator can rotate the internal field by a specific angle with respect to the external field. However, a multifunctional invisible device that can continuously tune across all these functions has never been realized due to its challenging requirements on material properties. Inside a porous medium flow, however, we overcome these challenges and realize such a multifunctional metamaterial. Our hydrodynamic device can manipulate both the magnitude and the direction of the internal flow and, at the same time, make negligible disturbance to the external flow. Thus, we integrate the functions of the cloak, concentrator, and rotator within one single hydrodynamic metamaterial, and such metamaterials may find potential applications in biomedical areas such as tissue engineering and drug release.


The colloidal nature of complex fluids enhances bacterial motility

March 2022

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171 Reads

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47 Citations

Nature

The natural habitats of microorganisms in the human microbiome, ocean and soil ecosystems are full of colloids and macromolecules. Such environments exhibit non-Newtonian flow properties, drastically affecting the locomotion of microorganisms1–5. Although the low-Reynolds-number hydrodynamics of swimming flagellated bacteria in simple Newtonian fluids has been well developed6–9, our understanding of bacterial motility in complex non-Newtonian fluids is less mature10,11. Even after six decades of research, fundamental questions about the nature and origin of bacterial motility enhancement in polymer solutions are still under debate12–23. Here we show that flagellated bacteria in dilute colloidal suspensions display quantitatively similar motile behaviours to those in dilute polymer solutions, in particular a universal particle-size-dependent motility enhancement up to 80% accompanied by a strong suppression of bacterial wobbling18,24. By virtue of the hard-sphere nature of colloids, whose size and volume fraction we vary across experiments, our results shed light on the long-standing controversy over bacterial motility enhancement in complex fluids and suggest that polymer dynamics may not be essential for capturing the phenomenon12–23. A physical model that incorporates the colloidal nature of complex fluids quantitatively explains bacterial wobbling dynamics and mobility enhancement in both colloidal and polymeric fluids. Our findings contribute to the understanding of motile behaviours of bacteria in complex fluids, which are relevant for a wide range of microbiological processes²⁵ and for engineering bacterial swimming in complex environments26,27.


Hydrodynamic couplings of colloidal ellipsoids diffusing in channels

February 2022

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80 Reads

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8 Citations

Journal of Fluid Mechanics

The hydrodynamic interactions (HIs) of two colloidal spheres characterized by the translation–translation (T–T) couplings have been studied under various confinements, but little is known regarding the HIs of anisotropic particles and rotational motions, which are common in nature and industry. Here, we study the T–T, rotation–rotation (R–R) and translation–rotation (T–R) hydrodynamic couplings of two colloidal ellipsoids sediment on the bottoms of channels in experiment, theory and simulation. We find that the degree of confinement and the particle shape anisotropy are critical tuning factors resulting in anomalous hydrodynamic and diffusive behaviours. The negative R–R coupling reflects the tendency of opposite rotations of two neighbouring ellipsoids. The positive T–R coupling reflects that an ellipsoid rotates away from the channel axis as another ellipsoid approaches. As the channel width increases, the positive T–T coupling changes to an abnormal negative coupling, indicating that the single-file diffusion can exist even in wide channels. By contrast, only positive T–T couplings were observed for spheres in channels. The T–T coupling increases with the aspect ratio p . The R–R coupling is the maximum at a moderate p ~ 2.8. The T–R coupling is the maximum at a moderate degree of confinement. The spatial range of HIs is longer than that of spheres and increases with p . We propose a simple model which reproduces some coupling phenomena between two ellipsoids, and it is further confirmed by low-Reynolds-number hydrodynamic simulation. These findings shed new light on anisotropic particle diffusion in porous media, transport through membranes, microfluidics and microrheology.


Non-affine to affine transition in packing-derived networks
a, Converting a particle-packing configuration into a spring network. Particles correspond to nodes and contacts correspond to bonds. We can vary the packing density by inflating the particles (upper), which increases the number of bonds in the network (lower). b, For the smallest patch with three nodes cut out of the system, three bonds are required to eliminate the floppy mode. If one bond is missing, one floppy mode will be created by free rotation. c, Displacement field before (z = 4.04) and at (z = 6) the non-affine to affine transition under shear and compression stress. The field is random before the transition and becomes linear at the transition. d, The non-affinity ΔE approaches zero at Δz = z − zC = 2, indicating an almost ideal affine transition in our packing-derived network, the configuration of which is shown in the right-hand panel. e, ΔE never approaches zero in a random network, indicating its non-affine nature. Similar to d, a universal kink appears at Δz = 2, which separates two distinct elastic regimes. The right-hand panel shows the random network configuration. f, As every node position is perturbed from jamming configuration by larger and larger displacement d, the non-affinity ΔE at the kink Δz = 2 rises sharply, confirming that the affine transition uniquely occurs at the jamming point configuration, d = 0. The right-hand panel shows the configuration at d = 0.4 (d = 1 is equivalent to the diameter of a small particle, which is close to an average bond length).
Understanding the variation of moduli at the single-particle level
a, The non-affine to affine transition at Δz = 2 in an N = 1,024 system. When Δz < 2, G/Gmax and K/Kmax vary differently; however, they collapse onto one curve for Δz > 2. The inset shows that the transition stabilizes at Δz = 2 for N > 500 systems. b, K/G ≈ Δz−1/2 before the transition while K/G = 2 after the transition. c, The schematics of the angle α between an arbitrary bond, r→ij=r→j−r→i\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\overrightarrow{r}}_{ij}={\overrightarrow{r}}_{j}-{\overrightarrow{r}}_{i}$$\end{document}, and its two nodes’ relative displacement under external stress, δr→ij=δr→j−δr→i\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\overrightarrow{\updelta r}}_{ij}={\overrightarrow{\updelta r}}_{j}-{\overrightarrow{\updelta r}}_{i}$$\end{document}. d, Comparison between theory and simulation for renormalized shear modulus, G/Gmax. e, Comparison between theory and simulation for renormalized bulk modulus, K/Kmax. In both d and e, the agreement is reasonable, with the largest deviation being around 10–15%.
The numerical design of a network with both affine and non-affine tunability
a, The original network with z = 5.28 (left-hand panel); achieving non-affine tunability by removing the bonds important to K (middle panel); realizing affine tunability by adding the red cross bonds (right-hand panel). b, With the non-affine operation of bond removal, K reduces substantially while G changes more gently (note that the z axis decreases with this operation). Interestingly, K/G can decrease even below unity to reach the unusual situation of K < G (insets). c, ν is also broadly tunable from positive to negative by this operation. d, With the affine operation of cross-bond addition, both K and G increase but K/G remains roughly constant (note that the z axis increases with this operation). e, ν also stays constant under this affine operation. f, Operations similar to a except that the bonds important to G are now removed and then the cross bonds are added. g, When the bonds important to G are removed, G reduces by two orders while K remains relatively stable. Correspondingly, K/G increases substantially. h, ν does not change much with bond removal. i,j, The affine operation of cross bond addition changes K and G simultaneously, while K/G (i) and ν (j) remain unchanged as expected.
Experimental realization of affine and non-affine tunability
a, Schematics of our experimental system. The bonds are identical springs confined in acrylic tubes. The nodes are long rods for the bonds to hold on to. The system is designed as multilayered to avoid conflicts between crossing bonds, and as vertically symmetric to eliminate net torques. b, Top view image of the actual system with all nodes (N = 50) labelled in red. z = 5.42 in this system. c, Side view image of the actual system. d, Realizing the non-affine property by removing the coloured bonds which are critical to E in the order from 1 to 10, starting with the more important ones. e, The removal of bonds decreases E substantially but has much less effect on G. Note that both E and G are measured over two perpendicular directions and then averaged. f, The bond removal achieves broad adjustment on E/G and ν. g, Similar operation of bond removal for the ones critical to G only (shown in the order from 1 to 10). h, G reduces substantially while E decreases gently. i, The bond removal increases E/G substantially but ν does not change much. j, Realizing the affine property by adding the coloured cross bonds in the order from 1 to 7. k, With cross-bond addition both E and G increase at the same rate. l, E/G and ν stay unchanged, as expected for an affine system.
Extending the 2D results into three dimensions
a, Schematics showing the cross bond (denoted in red) in two and three dimensions. In two dimensions the cross bond goes across a bond and in three dimensions it goes across a face. b, G/Gmax and K/Kmax merge together above zaff = 12.8 in a 32 × 32 × 32 node packing-derived network, confirming the affine transition in three dimensions. Inset: K/G. c, The non-affinity ΔE under both shear and compression strain decreases with z and stabilizes in the affine regime of z ≥ 12.8 (circles and squares). The triangles show the locking of non-affinity by adding cross bonds. Inset: tuning and locking of ν. d–f, side view of the 3D printed 5 × 5 × 5 node networks at z = 7.696 (d), z = 9.312 (e) and z = 10.432 (f). These networks have identical node positions but different bond numbers or z. From the top to the middle panel, non-cross bonds are added which tunes the affinity K/G and ν. From the middle to the bottom panel, cross bonds are added which locks K/G and ν. g–i, Comparison of the internal strain fields of the three networks under an identical strain: z = 7.696 (g), z = 9.312 (h) and z = 10.432 (i). g and h exhibit different internal strain due to the tuning operation, while h and i exhibit similar internal strain due to the locking operation.
Achieving adjustable elasticity with non-affine to affine transition

December 2021

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358 Reads

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15 Citations

Nature Materials

For various engineering and industrial applications it is desirable to realize mechanical systems with broadly adjustable elasticity to respond flexibly to the external environment. Here we discover a topology-correlated transition between affine and non-affine regimes in elasticity in both two- and three-dimensional packing-derived networks. Based on this transition, we numerically design and experimentally realize multifunctional systems with adjustable elasticity. Within one system, we achieve solid-like affine response, liquid-like non-affine response and a continuous tunability in between. Moreover, the system also exhibits a broadly tunable Poisson’s ratio from positive to negative values, which is of practical interest for energy absorption and for fracture-resistant materials. Our study reveals a fundamental connection between elasticity and network topology, and demonstrates its practical potential for designing mechanical systems and metamaterials.


Citations (22)


... tunability, which might possess the potential for mechanical transformation. Through rational design, droplets can exhibit various appealing metamaterial-possessed properties 14 , showing unique applications in optical modulator 15,16 , non-Hookean spring 17 , and hydrodynamical rectifier 18 . In addition, the surface tension and the flowability of the liquid inside the droplet endow it with bizarre mechanical properties different from traditional solid materials, which makes it widely used in micromechanics [19][20][21] . ...

Reference:

Droplet-based mechanical transducers modulated by the symmetry of wettability patterns
Realizing the multifunctional metamaterial for fluid flow in a porous medium

... When the dominant transport equation is the Laplace equation, it is possible to design functional metamaterials as bilayer structures using isotropic materials. This approach avoids the complexity associated with anisotropic and inhomogeneous material parameters [26][27][28][29][30] typically introduced through transformation mapping theory. [31][32][33][34][35] By precisely engineering unit cells based on the scattering cancelation theory, hydrodynamic metamaterials can control the fluid flow effectively with diverse functionalities, 25,[36][37][38]51 including invisibility cloaks, 24,28,29,39-44 concentrating, 29,45,46 rotating, 29,47 shielding 39,46 as well as hydrodynamic diodes. ...

Realizing the multifunctional metamaterial for fluid flow in a porous medium

Proceedings of the National Academy of Sciences

... This data is shown in Fig. S3(a) Here we present results of preliminary investigation of the influence of colloidal particles on bacteria motion. These studies are motivated by earlier studies of a similar systems [3]. ...

The colloidal nature of complex fluids enhances bacterial motility

Nature

... Let us now try to evaluate the concentration profile independently from experimental data. From the first glance, this profile comes from the balance between the magnetic force pushing the aggregates toward the back wall and hydrodynamic interaction repulsing the aggregates from the back wall that have been extensively studied by different authors (see for example Hsu & Ganatos 1994;Mitchell & Spagnolie 2015;Zheng et al. 2022). The aggregate position y can be evaluated by balancing both these forces. ...

Hydrodynamic couplings of colloidal ellipsoids diffusing in channels
  • Citing Article
  • February 2022

Journal of Fluid Mechanics

... Notable examples of model microswimmers that have been studied thoroughly in the literature include the classical three-sphere model [19][20][21][22] and the squirmer model that self-propels forward by generating tangential surface waves [23][24][25]. Based on these models, the effect of the fluid-mediated hydrodynamic interactions on the clustering mechanism of microswimmer suspension has been investigated [26][27][28][29]. Low-Reynolds-number hydrodynamics of microswimmers in various geometrical environments has been analyzed, e.g. in the presence of confining walls [30][31][32], microfluidic channels [33,34], viscous drops [35,36], or deformable interfaces and biological membranes [37][38][39]. ...

An effective and efficient model of the near-field hydrodynamic interactions for active suspensions of bacteria

Proceedings of the National Academy of Sciences

... One common approach altering the topological configuration is achieved by selectively removing links. [25][26][27][28] However, this method is constrained to reducing thermal conductance as cutting bonds impedes thermal transport pathways, leading to a decrease in the thermal conductance. An alternative tool is the rewire method, 29,30 which introduces bond crossing areas within the network. ...

Achieving adjustable elasticity with non-affine to affine transition

Nature Materials

... 37 Nevertheless, the existence and properties of a quasi-liquid on free crystal surfaces are poorly understood and lack a general theory. 37,38 Lindemann's vibrational instability approach seems the most appropriate model among semiempirical approaches for describing the quasi-liquid layer. Indeed, the mean square displacement of Sn atoms depends on the temperature and distance from the surface, and when the average amplitude of vibration reaches a threshold value, the disordered layer is observed. ...

Surface roughening, premelting and melting of monolayer and bilayer crystals

Soft Matter

... Wu & Libchaber [35] considered the diffusion of micronscale beads in suspensions of E. coli and observed super diffusion for short times and normal diffusion for long times. Increased diffusion of a passive tracer has been studied in diverse active fluids, including E. coli [14,36] and algae [37].The collective turbulent motion in bacterial suspensions can also enable direct transport of mesoscopic carriers, such as a micro-wedge like bulldozer [38]. Recently, experiments and simulations have demonstrated robust and unidirectional edge transport of immersed passive intruders in confined chiral active fluids, which are immune to obstacles [39]. ...

Dynamics of ellipsoidal tracers in swimming algal suspensions

PHYSICAL REVIEW E

... To obtain a somewhat better estimate of u(r), it is useful to extract from g(r) the direct correlations between triple junctions, as embodied in the correlation function c ð2Þ r ð Þ. This correlation function may be calculated from the pair correlation function g(r) using the Ornstein-Zernike equation 35 that, for a homogeneous, isotropic system, is given by the integral equation h jr À r 0 j ð Þ¼c ð2Þ jr À r 0 j ð Þþρ Z d 2 r 00 c ð2Þ jr À r 00 j ð Þh jr 00 À r 0 j ð Þ ; ...

Analytic Solution of the Ornstein-Zernike Relation for Inhomogeneous Liquids
  • Citing Article
  • September 2016

The Journal of Chemical Physics