S
Subrata Majhi
Researcher at Visva-Bharati University
Publications - 5
Citations - 62
Subrata Majhi is an academic researcher from Visva-Bharati University. The author has contributed to research in topics: Debye length & Chemistry. The author has an hindex of 1, co-authored 1 publications receiving 34 citations.
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Role of Fear in a Predator-Prey Model with Beddington-DeAngelis Functional Response
TL;DR: It is suggested that fear of predation risk can have both stabilizing and destabilizing effects, and an increase in the cost of fear destabilizes the system and produces periodic solutions via supercritical Hopf bifurcation.
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Numerical Study on Diffusiophoresis of a Hydrophobic Nanoparticle in a Monovalent or Multivalent Electrolyte
TL;DR: In this paper , a numerical study on the diffusiophoresis of a hydrophobic charged colloid driven by an imposed concentration gradient of an electrolyte is made, which is based on the computation of Navier-Stokes-Nernst-Planck-Poisson equations.
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A simplified model for the impact of dielectric polarization of a charged droplet on its diusiophoresis
TL;DR: In this article , the impact of the dielectric permittivity of a droplet on its diffusiophoresis in different types of electrolytes was quantified through a first-order perturbation technique.
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Diffusiophoresis of a soft particle incorporating ion partitioning and hydrophobic core
TL;DR: In this paper , the diffusiophoresis of a soft particle governed by an imposed ionic concentration gradient is studied based on a modified ion transport equation, where the surface of the rigid core of the soft particle is considered to be hydrophobic, which is coated with a charged polyelectrolyte layer (PEL) whose dielectric constant is different from the dispersion medium.
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Diffusiophoresis of a Charged Droplet in Asymmetric as Well as Mixed Electrolytes through Numerical and Semianalytic Models.
TL;DR: In this paper , a numerical study on diffusiophoresis of a droplet in an electrolyte medium is carried out by solving the full set of coupled governing equations, which are based on the conservation principle.