collaborators

8 papers

nlin.AO2026

Delay-Controlled Heterogeneous Nucleation in Adaptive Dynamical Networks

R. Anand, Jan Fialkowski, V. K. Chandrasekar +1

Phase transitions constitute fundamental mechanisms underlying abrupt or qualitative changes in the collective dynamics of interacting units across a wide range of natural and engi…

nlin.AO2026

Symmetry-induced activity patterns of active-inactive clusters in complex networks

Anil Kumar, V. K. Chandrasekar, D. V. Senthilkumar

Synchrony patterns characterize network states in which nodes organize into clusters based on their synchronized dynamics. The synchronized clusters may further exhibit either acti…

nlin.AO2026

Emergence of solitary and chimera states in adaptive pendulum networks under diverse learning rules

R. Anand, V. K. Chandrasekar, R. Suresh

We investigate the interplay between phase lag and adaptive learning rules in a network of identical pendulum oscillators, where the coupling strengths evolve dynamically in respon…

nlin.AO2026

Frustration-Induced Collective Dynamical States in Pulse-Coupled Adaptive Winfree Networks

R. Anand, V. K. Chandrasekar, R. Suresh

We investigate collective dynamics in a pulse-coupled adaptive Winfree network under the influence of a frustration (phase-lag) parameter. The coupling strengths coevolve according…

nlin.AO2026

Dynamics-induced activity patterns of active-inactive clusters in complex networks

Anil Kumar, V. K. Chandrasekar, D. V. Senthilkumar

Synchrony patterns describe network states in which nodes of a coupled dynamical system are grouped into clusters based on synchronization between nodes. Beyond simple synchrony, s…

nlin.CD2025

Multivariate time series prediction using clustered echo state network

S. Hariharan, R. Suresh, V. K. Chandrasekar

Many natural and physical processes can be understood by analyzing multiple system variables evolving, forming a multivariate time series. Predicting such time series is challengin…