Cessation of oscillations in a chemo-mechanical oscillator

Phogat, Richa; Tiwari, Ishant; Kumar, Pawan; Rivera, Marco; Parmananda, P.

doi:10.1140/epjb/e2018-80625-8

Cited by 14 publications

(3 citation statements)

References 36 publications

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“…Yet, it is imperative to acknowledge that certain aspects remain unexplored within the scope of this review. It can be found in the [7,[50][51][52][53].…”

Section: Discussionmentioning

confidence: 99%

Exploring the Mercury Beating Heart system: synchronization dynamics and potential applications in the field of nonlinear dynamics

Verma,

Kumar,

Singh

et al. 2024

Phys. Scr.

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The Mercury Beating Heart (MBH) system, an intriguing chemo-mechanical oscillator, holds significance in experimental nonlinear dynamics. This system features a mercury droplet in an electrolyte, inducing oscillations through electrochemical reactions at their junction. It offers insights into coupled oscillator dynamics, showcasing synchronization behavior such as partial and explosivesynchronization. Its simplicity and diverse dynamic behaviours make it an excellent choice for empirical and theoretical study. This article examines the MBH system's innovation and potential applications, emphasizing topics like topological modes, chemo-mechanical synchronization, and collective behaviour. Notable demonstrations include observing Kuramoto transition via globalcoupling's mean field interactions and explosive synchronization in star network setups. The goal is to present a comprehensive guide for researchers keen on using the MBH system to deepen our understanding of coupled oscillator dynamics. By exploring intricate synchronization phenomena, this article aims to inspire further investigation, advancing our comprehension and guiding future research paths.

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“…Yet, it is imperative to acknowledge that certain aspects remain unexplored within the scope of this review. It can be found in the [7,[50][51][52][53].…”

Section: Discussionmentioning

confidence: 99%

Exploring the Mercury Beating Heart system: synchronization dynamics and potential applications in the field of nonlinear dynamics

Verma,

Kumar,

Singh

et al. 2024

Phys. Scr.

Self Cite

View full text Add to dashboard Cite

show abstract

“…33) Application of operational amplifiers as coupling elements allows full control over the regulation of autonomous oscillatory activity of ensembles of oscillators, 143) as well as precise control of the oscillatory dynamics of individual oscillators. 147) Studies of larger assemblies of electrochemical oscillators with various connectivity indicated that these systems show various interesting phenomena. Depending on the frequency mismatch between individual oscillators and on their number, complex oscillatory patterns can be observed as a consequence of the local coupling of oscillators with small frequency mismatch.…”

Section: Coupled Electrochemical Oscillatorsmentioning

confidence: 99%

Towards synthetic neural networks: can artificial electrochemical neurons be coupled with artificial memristive synapses?

Wlaźlak

Przyczyna

Gutiérrez

et al. 2020

Jpn. J. Appl. Phys.

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The enormous amount of data generated nowadays worldwide is increasingly triggering the search for unconventional and more efficient ways of processing and classifying information, eventually able to transcend the conventional von-Neumann-Turing computational central dogma. It is, therefore, greatly appealing to draw inspiration from less conventional but computationally more powerful systems such as the neural architecture of the human brain.This neuromorphic route has the potential to become one of the most influential and long-lasting paradigms in the field of unconventional computing. The material-based workhorse for current hardware platforms is largely based on standard CMOS technologies, intrinsically following the above mentioned von-Neumann-Turing prescription; we do know, however, that the brain hardware operates in a massively parallel way through a densely interconnected physical network of neurons. This requires challenging the intrinsic definition of the single units and the architecture of computing machines. Memristive and the recently proposed memfractive systems have been shown to display basic features of neural systems such as synaptic-like plasticity and memory features, so that they may offer a diverse playground to implement synaptic connections. Their combination with reservoir computing approaches can further increase their versatility since reservoir networks do not require extra optimization of internal connections. In this review, we address various material-based strategies of implementing unconventional computing hardware: (i) electrochemical oscillators based on liquid metals and (ii) mem-devices exploiting Schottky barrier modulation in polycrystalline and disordered structures made of oxide or perovskite-type semiconductors. Both items (i) and (ii) build the two pillars of neuromimetic computing devices, which we will denote as synthetic neural networks. We complement the more experimental aspects of the review with an overview of few atomistic and phenomenological modelling approaches of memdevices as well as of reservoir computing networks. We expect that the current review will be of great interest for scientists aiming at bridging unconventional computing strategies with specific materials-based platforms.

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“…The signals (electrode potentials) are recorded between the Pt wires and Fe nails using the data acquisition control card (DAQ measurement computing USB-1616HS-4, 1000 Hz) with a computer interface. The details of the underlying nonlinear dynamics and chemistry of the regular and chaotic MBH oscillator can be found in the relevant literature [26][27][28][29][30][31][32][33] . Specifically, we consider the MBH oscillators in the parameter range that has been shown to yield chaotic dynamics 32 .…”

Section: Experimental Demonstration Of Asymmetry Induced Chaos Supprementioning

confidence: 99%

Asymmetry induced suppression of chaos

Biswas

Chaurasia

Parmananda

et al. 2020

Sci Rep

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We explore the dynamics of a group of unconnected chaotic relaxation oscillators realized by mercury beating heart systems, coupled to a markedly different common external chaotic system realized by an electronic circuit. Counter-intuitively, we find that this single dissimilar chaotic oscillator manages to effectively steer the group of oscillators on to steady states, when the coupling is sufficiently strong. We further verify this unusual observation in numerical simulations of model relaxation oscillator systems mimicking this interaction through coupled differential equations. Interestingly, the ensemble of oscillators is suppressed most efficiently when coupled to a completely dissimilar chaotic external system, rather than to a regular external system or an external system identical to those of the group. So this experimentally demonstrable controllability of groups of oscillators via a distinct external system indicates a potent control strategy. It also illustrates the general principle that symmetry in the emergent dynamics may arise from asymmetry in the constituent systems, suggesting that diversity or heterogeneity may have a crucial role in aiding regularity in interactive systems.

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Cessation of oscillations in a chemo-mechanical oscillator

Cited by 14 publications

References 36 publications

Exploring the Mercury Beating Heart system: synchronization dynamics and potential applications in the field of nonlinear dynamics

Exploring the Mercury Beating Heart system: synchronization dynamics and potential applications in the field of nonlinear dynamics

Towards synthetic neural networks: can artificial electrochemical neurons be coupled with artificial memristive synapses?

Asymmetry induced suppression of chaos

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