Pattern Formations and Oscillatory Phenomena 2013
DOI: 10.1016/b978-0-12-397014-5.00001-8
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Introduction to Nonequilibrium Phenomena

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Cited by 21 publications
(14 citation statements)
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References 66 publications
(69 reference statements)
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“…When the layer thickness decreases while the other parameters are kept constant, the optical path difference is reduced and constructive interference occurs for shorter wavelengths. In addition, maximum reflectivity and the bandwidth strongly depend on the refractive index difference between the layers (Kinoshita, 2013). With a large refractive index difference, the reflection spectrum shows broad reflection bands with a high reflectivity, whereas with a small difference the peaks are narrow with a low reflectivity.…”
Section: Resultsmentioning
confidence: 99%
“…When the layer thickness decreases while the other parameters are kept constant, the optical path difference is reduced and constructive interference occurs for shorter wavelengths. In addition, maximum reflectivity and the bandwidth strongly depend on the refractive index difference between the layers (Kinoshita, 2013). With a large refractive index difference, the reflection spectrum shows broad reflection bands with a high reflectivity, whereas with a small difference the peaks are narrow with a low reflectivity.…”
Section: Resultsmentioning
confidence: 99%
“…Based on this conceptual model of cyberspace, a complex system model was developed through the application of a predator-prey complex system using various modifications to the Lotka-Volterra predator-prey model [3]. These modifications include considerations of the Kermack-McKendrick model [22,23] for susceptibility, resistance, and infection rates.…”
Section: Scope and Methodsmentioning
confidence: 99%
“…This work explores the rapidly emerging digital ecosystem of cyberspace using the Systemigram tool [2]. It then applies properties of complex systems to the ecosystem, looking to the well-known Lotka-Volterra predator-prey model [3] and extending the model to better fit the oscillatory pattern of cyber warfare. The resultant models are presented as a concise, informative description of the ecosystem of cyberspace.…”
Section: Introductionmentioning
confidence: 99%
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“…Self-excited oscillation is a phenomenon in which the system has continuous state change under constant external stimulation ( Uchida et al (2015) ; Kumar et al (2016) ; Nocentini et al (2018) ). Various self-excited oscillations are constructed based on many kinds of passive and active material systems ( Kinoshita (2013) ; Chakrabarti et al (2020) ; Bartlett et al (2015) ; Wehner et al (2016) ). Because of their unique advantages, self-excited oscillations have broad application prospects in many fields, such as energy harvesters ( Baumann et al (2018) ), soft robots ( Nocentini et al (2018) ), medical devices ( Hu et al (2018) ), and micro/nano devices ( Huang and Aida, (2019) ).…”
Section: Introductionmentioning
confidence: 99%