Abstract:The dynamics of a large array of coupled semiconductor lasers is studied numerically for a nonlocal coupling scheme. Our focus is on chimera states, a self-organized spatiotemporal pattern of coexisting coherence and incoherence. In laser systems, such states have been previously found for global and nearest-neighbor coupling, mainly in small networks. The technological advantage of large arrays has motivated us to study a system of 200 nonlocally coupled lasers with respect to the emerging collective dynamics… Show more
“…It should be noted that there are also other measures that could be employed such as, e.g., a measure based on the local curvature of a given state [32]. This measure has been proved particularly useful whenever turbulent chimeras appear, e.g., in semiconductor laser arrays [33,34].…”
Section: Generation and Control Of Chimera Statesmentioning
SQUID (Superconducting QUantum Interference Device) metamaterials, subject to a timeindependent (dc) flux gradient and driven by a sinusoidal (ac) flux field, support chimera states that can be generated with zero initial conditions. The dc flux gradient and the amplitude of the ac flux can control the number of desynchronized clusters of such a generated chimera state (i.e., its "heads") as well as their location and size. The combination of three measures, i.e., the synchronization parameter averaged over the period of the driving flux, the incoherence index, and the chimera index, is used to predict the generation of a chimera state and its multiplicity on the parameter plane of the dc flux gradient and the ac flux amplitude. Moreover, the full-width half-maximum of the distribution of the values of the synchronization parameter averaged over the period of the ac driving flux, allows to distinguish chimera states from non-chimera, partially synchronized states.
“…It should be noted that there are also other measures that could be employed such as, e.g., a measure based on the local curvature of a given state [32]. This measure has been proved particularly useful whenever turbulent chimeras appear, e.g., in semiconductor laser arrays [33,34].…”
Section: Generation and Control Of Chimera Statesmentioning
SQUID (Superconducting QUantum Interference Device) metamaterials, subject to a timeindependent (dc) flux gradient and driven by a sinusoidal (ac) flux field, support chimera states that can be generated with zero initial conditions. The dc flux gradient and the amplitude of the ac flux can control the number of desynchronized clusters of such a generated chimera state (i.e., its "heads") as well as their location and size. The combination of three measures, i.e., the synchronization parameter averaged over the period of the driving flux, the incoherence index, and the chimera index, is used to predict the generation of a chimera state and its multiplicity on the parameter plane of the dc flux gradient and the ac flux amplitude. Moreover, the full-width half-maximum of the distribution of the values of the synchronization parameter averaged over the period of the ac driving flux, allows to distinguish chimera states from non-chimera, partially synchronized states.
“…Following the first discovery of chimeras for symmetrically coupled Kuramoto identical oscillators in 2002 (17), this counterintuitive symmetry breaking of partially coherent and partially incoherent behavior has received enormous attention. Many recent theoretical works have focused on the study of chimera states in a variety of physical systems such as superconducting metamaterials (18,19,20) quantum systems (21), and laser arrays (22,23), to mention only a few. Chimeras have also been studied in models addressing neuron dynamics in hierarchical and modular networks (24,25).…”
Section: A Predicting Turbulent Chimeras In Coupled Arraysmentioning
confidence: 99%
“…Chimeras can be stationary or turbulent. Turbulent chimeras have been observed experimentally (34) and have been classified in numerical studies of large arrays of SQUIDs (Superconducting QUantum Interference Devices) and in arrays of lasers with various types of interactions (18)(19)(20)22), among other physical systems. Their actual trajectories are highly nonlinear and comprise an immense challenge to predicting their occurrence.…”
Section: A Predicting Turbulent Chimeras In Coupled Arraysmentioning
confidence: 99%
“…Shena et al [22] have used a spatial average with a window size of ζ = 3 elements (a Z j value close to unity indicates that the j-th laser belongs to the coherent regime,…”
Section: A Predicting Turbulent Chimeras In Coupled Arraysmentioning
Chimeras and branching are two archetypical complex phenomena that appear in many physical systems; because of their different intrinsic dynamics, they delineate opposite non-trivial limits in the complexity of wave motion and present severe challenges in predicting chaotic and singular behavior in extended physical systems. We report on the long-term forecasting capability of Long Short-Term Memory (LSTM) and reservoir computing (RC) recurrent neural networks, when they are applied to the spatiotemporal evolution of turbulent chimeras in simulated arrays of coupled superconducting quantum interference devices (SQUIDs) or lasers, and branching in the electronic flow of two-dimensional graphene with random potential. We propose a new method in which we assign one LSTM network to each system node except for "observer" nodes which provide continual "ground truth" measurements as input; we refer to this method as "Observer LSTM" (OLSTM). We demonstrate that even a small number of observers greatly improves the data-driven (model-free) long-term forecasting capability of the LSTM networks and provide the framework for a consistent comparison between the RC and LSTM methods. We find that RC requires smaller training datasets than OLSTMs, but the latter require fewer observers. Both methods are benchmarked against Feed-Forward neural networks (FNNs), also trained to make predictions with observers (OFNNs).
“…In recent years, there have been many studies concerning semiconductor lasers and the analysis of synchronization and chimera states [5][6][7][8]. Here though, we focus on solid-state laser arrays and the formation of localized stationary patterns of activity.…”
We analyze how a star network topology shapes the dynamics of coupled CO 2 lasers with an intracavity electro-optic modulator that exhibit bistability. Such a network supports spreading and stationary activation patterns. In particular, we observe an activation spreading where the activated periphery turns on the center element, an activated center which drifts the periphery into the active region and an activation of the whole system from the passive into the active region.Pinned activation, namely activation localized only in the center or the peripheral elements is also found. Similar dynamical behavior has been observed recently in complex networks of coupled bistable chemical reactions. The current work aims at revealing those phenomena in laser arrays, giving emphasis on the essential role of the coupling structure in fashioning the overall dynamics. * hizanidis@physics.uoc.gr 1 arXiv:1807.04038v1 [nlin.CD]
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.