S
Srikanth Vedantam
Researcher at Indian Institute of Technology Madras
Publications - 67
Citations - 1384
Srikanth Vedantam is an academic researcher from Indian Institute of Technology Madras. The author has contributed to research in topics: Microstructure & Grain boundary. The author has an hindex of 19, co-authored 62 publications receiving 1220 citations. Previous affiliations of Srikanth Vedantam include National University of Singapore & Massachusetts Institute of Technology.
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Three-dimensional equilibrium shapes of drops on hysteretic surfaces
TL;DR: In this article, the authors developed a function coupled with the publicly available surface energy minimization code Surface Evolver to handle contact angle hysteresis, where the only inputs to the model are the advancing and receding contact angles of the surface.
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Asymmetric wetting of patterned surfaces composed of intrinsically hysteretic materials.
TL;DR: It is found that for surfaces with a finite heterogeneity length scale, the advancing and receding contact angles deviate from Cassie theory and its length scale dependence are asymmetric and depend on the wetting properties of the embedded material relative to the contiguous substrate.
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Transport of DNA in hydrophobic microchannels: a dissipative particle dynamics simulation
TL;DR: This work numerically study a new means of manipulating single DNA chains in microchannels based on the effect of finite slip at hydrophobic walls on the hydrodynamics and proposes a simple arrangement of hydrophobia and hydrophilic strips which can be exploited to separate long and short DNA chains.
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Perturbation solution of the shape of a nonaxisymmetric sessile drop.
TL;DR: An analytical solution for the shape of a nonaxisymmetric sessile drop using regular perturbation methods and ignoring gravity is developed and validated by comparing to the numerical solution of the Young-Laplace equation obtained using publicly available Surface Evolver software.
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A novel coupled fluid–particle DEM for simulating dense granular slurry dynamics
TL;DR: In this paper, a coupled fluid-particle discrete element simulation was used to study the mixing of two initially stratified layers of the granular material in a belt-driven square cavity.