P
Pinaki Pal
Researcher at National Institute of Technology, Durgapur
Publications - 76
Citations - 827
Pinaki Pal is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Prandtl number & Rayleigh number. The author has an hindex of 14, co-authored 58 publications receiving 638 citations. Previous affiliations of Pinaki Pal include Indian Institute of Technology Kanpur & Indian Statistical Institute.
Papers
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Oscillation death in diffusively coupled oscillators by local repulsive link
TL;DR: Oscillation death is reported in a network of coupled synchronized oscillators in the presence of additional repulsive coupling and the number of repulsive links is always fewer than the size of the network.
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Extreme events in the forced Liénard system.
TL;DR: extremely large amplitude intermittent spikings in a dynamical variable of a periodically forced Liénard-type oscillator are observed and characterized as extreme events, which are rare, but recurrent and larger in amplitude than a threshold.
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Dragon-king-like extreme events in coupled bursting neurons.
TL;DR: Evidence of extreme events in two Hindmarsh-Rose bursting neurons mutually interacting via two different coupling configurations: chemical synaptic- and gap junctional-type diffusive coupling and a dragon-king-like probability distribution is seen.
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Diverse routes of transition from amplitude to oscillation death in coupled oscillators under additional repulsive links.
TL;DR: The existence of diverse routes of transition from amplitude death to oscillation death in three different diffusively coupled systems, which are perturbed by a symmetry breaking repulsive coupling link, is reported.
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Explosive synchronization in phase-frustrated multiplex networks
TL;DR: In this paper, the authors investigate the phenomenon of first-order transition [explosive synchronization (ES)] in an adaptively coupled phase-frustrated bilayer multiplex network and derive the synchronization transition points (backward and forward) of all layers of the network as well as its monolayer counterpart satisfying a close agreement with numerical results.