125 citations · 441 across the 13 of their papers we have counts for
13 papers
A perspective on fluid mechanical environments for challenges in reinforcement learning
Shruti Mishra, Michael Chang, Vamsi Spandan +1
We consider the challenge of developing agents that efficiently interact with high-dimensional, evolving environments, towards a view of practical reinforcement learning (RL) agent…
FSEI-GPU: GPU accelerated simulations of the fluid-structure-electrophysiology interaction in the left heart
Francesco Viola, Vamsi Spandan, Valentina Meschini +4
The reliability of cardiovascular computational models depends on the accurate solution of the hemodynamics, the realistic characterization of the hyperelastic and electric propert…
Non-universal transport mechanisms in vertical natural convection with dispersed light droplets
Chong Shen Ng, Vamsi Spandan, Roberto Verzicco +1
We present results on the effect of dispersed droplets in vertical natural convection (VC) using direct numerical simulations based on a two-way fully coupled Euler-Lagrange approa…
Flow induced dissolution of femtoliter surface droplet arrays
Lei Bao, Vamsi Spandan, Yantao Yang +4
The dissolution of liquid nanodroplets is a crucial step in many applied processes, such as separation and dispersion in food industry, crystal formation of pharmaceutical products…
Physical mechanisms governing drag reduction in turbulent Taylor-Couette flow with finite-size deformable bubbles
Vamsi Spandan, Roberto Verzicco, Detlef Lohse
The phenomenon of drag reduction induced by injection of bubbles into a turbulent carrier fluid has been known for a long time; the governing control parameters and underlying phys…
A fast moving least squares approximation with adaptive Lagrangian mesh refinement for large scale immersed boundary simulations
Vamsi Spandan, Detlef Lohse, Marco D. de Tullio +1
In this paper we propose and test the validity of simple and easy-to-implement algorithms within the immersed boundary framework geared towards large scale simulations involving th…