activity
20012023
most citedOscillation death in diffusively coupled oscillators by local repulsive link

102 citations · 590 across the 32 of their papers we have counts for

collaborators

33 papers

nlin.AO2023

Impact of phase lag on synchronization in frustrated Kuramoto model with higher-order interactions

Sangita Dutta, Abhijit Mondal, Prosenjit Kundu +3

The study of first order transition (explosive synchronization) in an ensemble (network) of coupled oscillators has been the topic of paramount interest among the researchers for m…

physics.soc-ph2023

Perfect synchronization in complex networks with higher order interactions

Sangita Dutta, Prosenjit Kundu, Pitambar Khanra +2

We propose a framework for achieving perfect synchronization in complex networks of Sakaguchi-Kuramoto oscillators in presence of higher order interactions (simplicial complexes) a…

nlin.PS2022★ 9 cited

Rate-induced tipping can trigger plankton blooms

Anna Vanselow, Lukas Halekotte, Pinaki Pal +2

Plankton blooms are complex nonlinear phenomena whose occurrence can be described by the two-timescale (fast-slow) phytoplankton-zooplankton model intrpduced by Truscott and Brindl…

nlin.AO2021★ 18 cited

Amplification of explosive width in complex networks

Pitambar Khanra, Prosenjit Kundu, Pinaki Pal +2

We present an adaptive coupling strategy to induce hysteresis/explosive synchronization (ES) in complex networks of phase oscillators Sakaguchi-Kuramoto model). The coupling strate…

nlin.AO2021★ 31 cited

Identifying symmetries and predicting cluster synchronization in complex networks

Pitambar Khanra, Subrata Ghosh, Karin Alfaro-Bittner +4

Symmetries in a network connectivity regulate how the graph's functioning organizes into clustered states. Classical methods for tracing the symmetry group of a network require ver…

cs.LG2021

A novel machine learning-based optimization algorithm (ActivO) for accelerating simulation-driven engine design

Opeoluwa Owoyele, Pinaki Pal

A novel design optimization approach (ActivO) that employs an ensemble of machine learning algorithms is presented. The proposed approach is a surrogate-based scheme, where the pre…