55 citations · 328 across the 16 of their papers we have counts for
16 papers
Machine Learning model driven prediction of the initial geometry in Heavy-Ion Collision experiments
Abhisek Saha, Debasis Dan, Soma Sanyal
We demonstrate high prediction accuracy of three important properties that determine the initial geometry of the heavy-ion collision (HIC) experiments by using supervised Machine L…
Giant coherence in driven systems
Soumen Roy, Debasis Dan, A. M. Jayannavar
We study the noise-induced currents and reliability or coherence of transport in two different classes of rocking ratchets. For this, we consider the motion of Brownian particles i…
Solving the Advection-Diffusion Equations in Biological Contexts using the Cellular Potts Model
Debasis Dan, Chris Mueller, Kun Chen +1
The Cellular Potts Model (CPM) is a robust, cell-level methodology for simulation of biological tissues and morphogenesis. Both tissue physiology and morphogenesis depend on diffus…
Noise induced currents and reliability of transport in frictional ratchets
Raishma Krishnan, Debasis Dan, A. M. Jayannavar
We study the coherence of transport of an overdamped Brownian particle in frictional ratchet system in the presence of external Gaussian white noise fluctuations. The analytical ex…
Diffusion accompanying noise induced transport in frictional ratchets
Raishma Krishnan, Debasis Dan, A. M. Jayannavar
We study the noise induced transport of an overdamped Brownian particle in frictional ratchet systems in the presence of external Gaussian white noise fluctuations. The analytical…
Transport Coherence in Frictional Ratchets
Raishma Krishnan, Debasis Dan, A. M. Jayannavar
We study the phenomena of noise induced transport in frictional ratchet systems. For this we consider a Brownian particle moving in a space dependent frictional medium in the prese…