91 citations · 115 across the 11 of their papers we have counts for
11 papers
Gyrokinetic simulation of the effect of transient fueling on plasma turbulence in ADITYA-U tokamak
Jaya Kumar Alageshan, Suman Dolui, Joydeep Ghosh +8
The gradient-driven microturbulence in ADITYA-U tokamak plasmas has been suppressed by injecting short gas puffs. The suppression of microturbulence increases the core temperature…
Effect of static magnetic island on ITG of ADITYA-U tokamak
Vibhor Kumar Singh, Amal R Biju, Jaya Kumar Alageshan +10
Magnetic islands play a crucial role in regulating plasma confinement in tokamaks by interacting with micro-instabilities, such as the ion temperature gradient (ITG) mode. This wor…
Dependence of Core Turbulence and Transport in DIII-D QH-Mode Plasmas
Abhishek Tiwari, Kshitish Barada, Jaya Kumar Alageshan +6
This study investigates the effect of the ion-to-electron temperature ratio () on microturbulence driven transport in Quiescent H-mode (QH-mode) plasmas in the DIII-D toka…
Can flocking aid the path planning of microswimmers in turbulent flows?
Akanksha Gupta, Jaya Kumar Alageshan, Kolluru Venkata Kiran +1
We show that flocking of microswimmers in a turbulent flow can enhance the efficacy of reinforcement-learning-based path-planning of microswimmers in turbulent flows. In particular…
Neural network assisted electrostatic global gyrokinetic toroidal code using cylindrical coordinates
Jaya Kumar Alageshan, Joydeep Das, Tajinder Singh +2
Gyrokinetic simulation codes are used to understand the microturbulence in the linear and nonlinear regimes of the tokamak and stellarator core. The codes that use flux coordinates…
Phases, morphologies, and transitions in a membrane model for the endoplasmic reticulum
Jaya Kumar Alageshan, Yashodhan Hatwalne, Rahul Pandit
We introduce a novel model, comprising self-avoiding surfaces and incorporating edges and tubules, that is designed to characterize the structural morphologies and transitions obse…
Spiral-wave dynamics in excitable media: Insights from dynamic mode decomposition
Mahesh Kumar Mulimani, Soling Zimik, Jaya Kumar Alageshan +1
Spiral waves are ubiquitous spatiotemporal patterns that occur in various excitable systems. In cardiac tissue, the formation of these spiral waves is associated with life-threaten…
Dynamic Mode Decomposition of inertial particle caustics in Taylor-Green flow
Omstavan Samant, Jaya Kumar Alageshan, Sarveshwar Sharma +1
Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylor-Green (TG) flow and characterize particle dynamics as a…
Stability of topological wall defects on spheres with n-atic order
C. Saichand, Jaya Kumar Alageshan, Arun Roy +1
Topological point defects on orientationally ordered spheres, and on deformable fluid vesicles have been partly motivated by their potential applications in creating super-atoms wi…
Machine learning strategies for path-planning microswimmers in turbulent flows
Jaya Kumar Alageshan, Akhilesh Kumar Verma, Jérémie Bec +1
We develop an adversarial-reinforcement learning scheme for microswimmers in statistically homogeneous and isotropic turbulent fluid flows, in both two (2D) and three dimensions (3…
Deep-learning-assisted detection and termination of spiral- and broken-spiral waves in mathematical models for cardiac tissue
Mahesh Kumar Mulimani, Jaya Kumar Alageshan, Rahul Pandit
Unbroken and broken spiral waves, in partial-differential-equation (PDE) models for cardiac tissue, are the mathematical analogs of life-threatening cardiac arrhythmias, namely, ve…