arXiv subjects

Suman Chakraborty

Publications and source records attributed to Suman Chakraborty.

At least 37 records · Page 2Linked to original sources

arXiv2024

Oscillatory equilibrium in asymmetric evolutionary games: Generalizing evolutionarily stable strategy

The concept of evolutionarily stability and its relation with the fixed points of the replicator equation are important aspects of evolutionary game dynamics. In the light of the fact that oscillating state of a population and individuals (or players) of different roles are quite natural occurrences, we ask the question how the concept of evolutionarily stability can be generalized so as to associate game-theoretic meaning to oscillatory behaviours of players asymmetrically interacting, i.e., if there are both intraspecific and interspecific interactions between two subpopulations in the population. We guide our scheme of generalization such that the evolutionary stability is related to the dynamic stability of the corresponding periodic orbits of a time-discrete replicator dynamics. We name the generalization of evolutionarily stable state as two-species heterogeneity stable orbit. Furthermore, we invoke the principle of decrease of relative entropy in order to associate the generalization of evolutionary stability with an information-theoretic meaning. This particular generalization is aptly termed as two-species information stable orbit.

q-bio.PE↗

arXiv2024

Third Harmonic Enhancement Harnessing Photoexcitation Unveils New Nonlinearities in Zinc Oxide

Nonlinear optical phenomena are at the heart of various technological domains such as high-speed data transfer, optical logic applications, and emerging fields such as non-reciprocal optics and photonic time crystal design. However, conventional nonlinear materials exhibit inherent limitations in the post-fabrication tailoring of their nonlinear optical properties. Achieving real-time control over optical nonlinearities remains a challenge. In this work, we demonstrate a method to switch third harmonic generation (THG), a commonly occurring nonlinear optical response. Third harmonic generation enhancements up to 50 times are demonstrated in zinc oxide films via the photoexcited state generation and tunable electric field enhancement. More interestingly, the enhanced third harmonic generation follows a quadratic scaling with incident power, as opposed to the conventional cubic scaling, which demonstrates a previously unreported mechanism of third harmonic generation. The THG can also be suppressed by modulating the optical losses in the film. This work shows that the photoexcitation of states can not only enhance nonlinearities, but can create new processes for third harmonic generation. Importantly, the proposed method enables real-time manipulation of the nonlinear response of a medium. The process is switchable and reversible, with the modulations occurring at picosecond timescale. Our study paves the way to boost or suppress the nonlinearities of solid-state media, enabling robust, switchable sources for nonlinear optical applications.

cond-mat.mtrl-sci↗

arXiv2024

Migration of two Interacting Micro-Confined Deformable Drops Under an Imposed Temperature Gradient

A tiny drop of one liquid, suspended within another, may be set into motion aligned with an imposed thermal gradient, as influenced by thermocapillary action stemming from the gradients in interfacial tension due to the local variations in temperature. In real-world situations, however, such drops do not remain in isolation, as they interact with their neighbouring entities including other drops in the proximity as well as a nearby solid boundary, setting up a complex interplay between the confinement-mediated interactions and three-dimensional nature of the droplet dynamics. In this study, we present numerical solutions for the migration dynamics of a tightly-confined drop-couple, incorporating deformable interfaces, film flow, and Marangoni effects in the presence of dynamically evolving thermocapillary stresses induced by an imposed uniform temperature gradient. Unlike prior investigations, our work highlights the influence of the confinement towards orchestrating non-trivial features of drop migration, as dictated by an intricate coupling of the thermal and flow fields amidst the interferences of the domain boundaries. The study reveals that hydrodynamic interactions resulting from a juxtaposition of these influences deform the drops in a unique manner as compared to the characteristics evidenced from previously reported studies, causing a distortion of the local thermal fields around them. The consequent alteration in the drop velocities is shown to govern their migration in a distinctive manner, presenting unique signatures as compared to more restrictive scenarios studied previously. These findings hold significance in designing thermocapillary-driven micro-confined systems for controlling drop trajectories under an imposed thermal field, bearing far-reaching implications in a plethora of overarching applications ranging from droplet microfluidics to space technology.

physics.flu-dyn↗

arXiv2023

Replicator-mutator dynamics of Rock-Paper-Scissors game: Learning through mistakes

We generalize the Bush--Mosteller learning, the Roth--Erev learning, and the social learning to include mistakes such that the nonlinear replicator-mutator equation with either additive or multiplicative mutation is generated in an asymptotic limit. Subsequently, we exhaustively investigate the ubiquitous Rock-Paper-Scissors game for some analytically tractable motifs of mutation pattern. We consider both symmetric and asymmetric game interactions, and reveal that mistakes can some-times help the players learn. While the replicator-mutator flow exhibits rich dynamics that include limit cycles and chaotic orbits, it can control chaos as well to lead to rational Nash equilibrium outcome. Moreover, we also report an instance of hitherto unknown Hamiltonian structure of the replicator-mutator equation.

physics.soc-ph↗

arXiv2023

Selection-recombination-mutation dynamics: Gradient, limit cycle, and closed invariant curve

In this paper, the replicator dynamics of the two-locus two-allele system under weak mutation and weak selection is investigated in a generation-wise non-overlapping unstructured population of individuals mating at random. Our main finding is that the dynamics is gradient-like when the point mutations at the two loci are independent. This is in stark contrast to the case of one-locus multi-allele where the existence gradient behaviour is contingent on a specific relationship between the mutation rates. When the mutations are not independent in the two-locus two-allele system, there is the possibility of non-convergent outcomes, like asymptotically stable oscillations, through either the Hopf bifurcation or the Neimark--Sacker bifurcation depending on the strength of the weak selection. The results can be straightforwardly extended for multi-locus two-allele systems.

q-bio.PE↗

arXiv2022

Graphon mean field systems

We consider heterogeneously interacting diffusive particle systems and their large population limit. The interaction is of mean field type with weights characterized by an underlying graphon. A law of large numbers result is established as the system size increases and the underlying graphons converge. The limit is given by a graphon mean field system consisting of independent but heterogeneous nonlinear diffusions whose probability distributions are fully coupled. Well-posedness, continuity and stability of such systems are provided. We also consider a not-so-dense analogue of the finite particle system, obtained by percolation with vanishing rates and suitable scaling of interactions. A law of large numbers result is proved for the convergence of such systems to the corresponding graphon mean field system.

math.PR↗

arXiv2022

A Central Limit Theorem for Diffusion in Sparse Random Graphs

We consider bootstrap percolation and diffusion in sparse random graphs with fixed degrees, constructed by configuration model. Every node has two states: it is either active or inactive. We assume that to each node is assigned a nonnegative (integer) threshold. The diffusion process is initiated by a subset of nodes with threshold zero which consists of initially activated nodes, whereas every other node is inactive. Subsequently, in each round, if an inactive node with threshold $θ$ has at least $θ$ of its neighbours activated, then it also becomes active and remains so forever. This is repeated until no more nodes become activated. The main result of this paper provides a central limit theorem for the final size of activated nodes. Namely, under suitable assumptions on the degree and threshold distributions, we show that the final size of activated nodes has asymptotically Gaussian fluctuations.

math.PR↗

arXiv2022

Combined effect of Fluid Rheology and Surface Modification on Eletrokinetic Energy Generation through Finite Length Microchannel

Electrokinetic energy conversion provides a scheme for energy harvesting and storage for on-chip applications. However, the major drawback of electrokinetic energy conversion is its low conversion efficiency. Researchers are in a quest to find ways to improve this efficiency. With the same motive, we investigated the generation of streaming potential by applying surface modification and employing a non-Newtonian fluid to flow through the microchannel under constant pressure difference across its ends. Shear-thickening liquids tend to lessen electrokinetic effects, whereas shear-thinning liquids favour them. Also, having superhydrophobic surfaces improve the magnitude of generated streaming potential. We examine the combined effect of fluid rheology and surface modification on electrokinetic energy generation. We have learned intriguing insights about using non-Newtonian fluid in hydrophobic microchannels as an outcome of our combined research. Hydrophobic surfaces do not enhance the efficiency for a fluid with below a power law index of 0.7. The findings of this research can be used towards the selection of fluid-substrate combination that will optimize electrokinetic power generation efficiency.

physics.flu-dyn↗

arXiv2022

Rank-k random graphs and finite type branching processes

In this note, we investigate fundamental relations between exploration processes in random graphs, and branching processes. We formulate a class of models that we call {\em rank-$k$ random graphs}, and that are special in that their neighborhood explorations can be obtained by a {\em thinning} of multi-type branching processes. We show that any rank-2 random graph can be described in terms of thinning of a 2-type branching process, while for higher rank, it is not clear how many types are needed.

math.PR↗

arXiv2022

K-core in percolated dense graph sequences

We determine the size of $k$-core in a large class of dense graph sequences. Let $G_n$ be a sequence of undirected, $n$-vertex graphs with edge weights $\{a^n_{i,j}\}_{i,j \in [n]}$ that converges to a kernel $W:[0,1]^2\to [0,+\infty)$ in the cut metric. Keeping an edge $(i,j)$ of $G_n$ with probability $\min \{ {a^n_{i,j}}/{n},1 \}$ independently, we obtain a sequence of random graphs $G_n(\frac{1}{n})$. Denote by $\mathcal{A}$ the property of a branching process that the initial particle has at least $k$ children, each of which has at least $k-1$ children, each of which has at least $k-1$ children, and so on. Using branching process and the theory of dense graph limits, under mild assumptions we obtain the size of $k$-core of random graphs $G_n(\frac{1}{n})$, \begin{align*} \text{size of $k$-core of } G_n\left(\frac{1}{n}\right) =n \mathbb{P}_{X^W}\left(\mathcal{A}\right) +o_p(n). \end{align*} Our result can also be used to obtain the threshold of appearance of a $k$-core of order $n$.

math.PR↗

arXiv2022

$K_{r,s}$ graph bootstrap percolation

A graph $G$ percolates in the $K_{r,s}$-bootstrap process if we can add all missing edges of $G$ in some order such that each edge creates a new copy of $K_{r,s}$, where $K_{r,s}$ is the complete bipartite graph. We study $K_{r,s}$-bootstrap percolation on the Erdős-Rényi random graph, and determine the percolation threshold for balanced $K_{r,s}$ up to a logarithmic factor. This partially answers a question raised by Balogh, Bollobás, and Morris. We also establish a general lower bound of the percolation threshold for all $K_{r,s}$, with $r\geq s \geq 3$.

math.PR↗

arXiv2021

Electroosmotic flow of viscoelastic fluids in deformable microchannels

The electroosmotic flow of non-Newtonian fluids in deformable microchannels is fundamentally important in the understanding of the hydrodynamics in physiological flows. The performance of these microchannels is governed by the load bearing capacity indicating the maximum amount of load that the device can withstand. While significant research efforts are aimed towards the coupling of electrokinetics with substrate deformability, the corresponding enhancement in the performances still remains elusive. Towards this, employing an intricate coupling between substrate compliance, hydrodynamic, and electrokinetic modulations, we have analyzed the possible sources of alterations in the flow physics in a deformable microchannel under the rheological premises of viscoelastic fluids which have a close resemblance with biological fluids typically used in several bio and micro-fluidic applications. The present study reveals that by operating under favorable regimes of parameters like the concentration and molecular weight of the polymer, the quality of the Newtonian solvent, and the concentration of electrolyte, one can achieve substantial augmentation in the load carrying capacity of a deformable microchannel for viscoelastic fluids as compared to its Newtonian counterpart. We believe that the present theoretical framework can be extremely important in the designing of electro-kinetically modulated bio-mimetic microfluidic devices.

cond-mat.soft↗

arXiv2021

Profiling a soft solid layer to passively control the conduit shape in a compliant microchannel during flow

The shape of a microchannel during flow through it is instrumental to understanding the physics that govern various phenomena ranging from rheological measurements of fluids to separation of particles and cells. Two commonly used approaches for obtaining a desired channel shape (for a given application) are (i) fabricating the microchannel in the requisite shape and (ii) actuating the microchannel walls during flow to obtain the requisite shape. However, these approaches are not always viable. We propose an alternative, passive approach to {\it a priori} tune the elastohydrodynamics in a microsystem, towards achieving a pre-determined (but not pre-fabricated) flow geometry when the microchannel is subjected to flow. That is to say, we use the interaction between a soft solid layer, the viscous flow beneath it and the shaped rigid wall above it, to tune the fluid domain's shape. Specifically, we study a parallel-wall microchannel whose top wall is a slender soft coating of arbitrary thickness attached to a rigid platform. We derive a nonlinear differential equation for the soft coating's fluid--solid interface, which we use to infer how to achieve specific conduit shapes during flow. Using this theory, we demonstrate the tuning of four categories of microchannel geometries, which establishes, via a proof-of-concept, the viability of our modeling framework. We also explore slip length patterning on the rigid bottom wall of the microchannel, a common technique in microfluidics, as an addition `handle' for microchannel shape control. However, we show that this effect is much weaker in practice.

cond-mat.soft↗

arXiv2021

Viscoelasticity characterization of compressible soft matter via fluid-mediated dynamic interactions

Characterizing the softness of deformable materials having partial elastic and partial viscous behaviour via soft lubrication experiments has emerged as a versatile and robust methodology in recent times. However, a straightforward extension of the classical elastohydrodynamic lubrication theory that is commonly employed for characterizing elastic materials turns out to be rather inadequate in explaining the response of such viscoelastic materials subjected to dynamic loading conditions, despite adhering to a mathematically acceptable framework via the complex Young's modulus as a material property. This deficit stems from a non-trivial interplay of the material compressibility and its time-dependent dynamic response under fluid-mediated oscillatory loading typical to surface probing experiments. Here we develop a soft-lubrication based theoretical framework that enables the consistent recovery of viscoelastic model properties of materials from experimental data, independent of the specific loading condition. A major advancement here is the rectification of inconsistencies in viscoelasticity characterization of previously reported models that are typically manifested by unphysical dependencies of the model parameters on the substrate layer thickness and the oscillation frequency of the surface probing apparatus. Our results provide further pointers towards the design of characterization experiments for consistent and specific mapping of the experimental data with the parametric values of the chosen material-model. These findings appear to be imperative in designing and selecting materials for emerging bio-engineering tools including organ-on-a-chip and human body-on-a-chip.

cond-mat.soft↗

arXiv2021

Efficient simulation of non-classical liquid-vapour phase-transition flows: a method of fundamental solutions

Classical continuum-based liquid vapour phase-change models typically assume continuity of temperature at phase interfaces along with a relation which describes the rate of evaporation at the interface (Hertz-Knudsen-Schrage, for example). However, for phase transitions processes at small scales, such as the evaporation of nanodroplets, the assumption that the temperature is continuous across the liquid-vapour interface leads to significant inaccuracies (McGaughey & Ward 2002; Rana et al. 2019), as may the adoption of classical constitutive relations that lead to the Navier-Stokes-Fourier equations (NSF). In this article, to capture the notable effects of rarefaction at small scales, we adopt an extended continuum-based approach utilizing the coupled constitutive relations (CCR). In CCR theory, additional terms are invoked in the constitutive relations of NSF equations originating from the arguments of irreversible thermodynamics as well as consistent with kinetic theory of gases. The modelling approach allows us to derive new fundamental solutions for the linearised CCR model and to develop a numerical framework based upon the method of fundamental solutions (MFS) and enables threedimensional multiphase micro-flow simulations to be performed at remarkably low computational cost. The new framework is benchmarked against classical results and then explored as an efficient tool for solving three-dimensional phase-change events involving droplets.

physics.flu-dyn↗

arXiv2021

Latent Association Mining in Binary Data

We consider the problem of identifying stable sets of mutually associated features in moderate or high-dimensional binary data. In this context we develop and investigate a method called Latent Association Mining for Binary Data (LAMB). The LAMB method is based on a simple threshold model in which the observed binary values represent a random thresholding of a latent continuous vector that may have a complex association structure. We consider a measure of latent association that quantifies association in the latent continuous vector without bias due to the random thresholding. The LAMB method uses an iterative testing based search procedure to identify stable sets of mutually associated features. We compare the LAMB method with several competing methods on artificial binary-valued datasets and two real count-valued datasets. The LAMB method detects meaningful associations in these datasets. In the case of the count-valued datasets, associations detected by the LAMB method are based only on information about whether the counts are zero or non-zero, and is competitive with methods that have access to the full count data.

stat.ME↗

arXiv2020

Vapor-liquid equilibrium predictions of n-alkane/nitrogen mixtures using neural networks

Understanding fluid phase behavior in high pressure and high temperature conditions is crucial for developing high-fidelity simulations of chemically reacting flows in liquid-fueled combustion systems. The study of vapor-liquid equilibrium (VLE) curves also forms an integral part of the design and modeling of the control processes in chemical and oil-gas industries. The main objective of this study was to develop data-driven models to predict VLE of Type III binary mixtures involving long-chained n-alkanes and nitrogen. Two data-driven models have been proposed in this study, each of which was competent in estimating VLE for the binary systems of C10/N2 and C12/N2, at pressures ranging up to 50-60 MPa. Both the models showed better performance (less average absolute percentage error) in predicting equilibrium pressure of the binary mixtures as compared to the VLE modeled using Peng-Robinson equation of state (PR-EOS). The data-driven models were also able to correctly trace the change in curvature of the vapor phase composition, close to the mixture critical point, at high pressures and temperatures-a feature of the n-alkane/nitrogen system VLE which the PR-EOS model fails to capture.

physics.flu-dyn↗

arXiv2020

Steering a thermally activated micromotor with a nearby isothermal wall

Selective heating of a microparticle surface had been observed to cause its autonomous movement in a fluid medium due to self-generated temperature gradients. In this work, we theoretically investigate the response of such an auto-thermophoretic particle near a planar wall which is held isothermal. We derive an exact solution of the energy equation and employ the Reynolds reciprocal theorem to obtain the translational and rotational swimming velocities in the creeping flow limit. Subsequently, we analyse the trajectories of the micromotor for different thermo-physical and configurational parameters. Results show that the micromotor trajectories can be switched either from wall-bound sliding or stationary state to escape from the near-wall zone by suitably choosing the particle and the surrounding fluid pair having selective thermal conductivity contrasts. Further, we discuss the dependency of this swimming-state transition on the launching orientation and the coverage of the metallic cap. Our results reveal that the scenario addressed here holds several exclusive distinguishing features from the otherwise extensively studied self-diffusiophoresis phenomenon near an inert wall, despite obvious analogies in the respective constitutive laws relating the fluxes with the gradients of the concerned forcing parameters. The most contrasting locomotion behaviour here turns out to be the ability of a self-thermophoretic micromotor to migrate towards the wall with large heated cap even if it is initially directed away from the wall. Besides, during the stationary state of swimming, the cold portion on the micromotor surface faces away from the wall, under all conditions. Such unique aspects of locomotion hold the potential of being harnessed in practice towards achieving intricate control over autonomous motion of microparticles in thermally-regulated fluidic environments.

physics.flu-dyn↗