Sculpting Stochastic Dynamics: Manipulating Conductivity and Noise for Transitioning between Stochastic and Inverse Stochastic Resonances in Liquid- Crystal Electroconvection

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The paper studies noise-induced stochastic resonance (SR) and inverse SR, focusing on transitions between these resonances in an alternating-current–driven liquid-crystal electroconvection (EC) system. Using numerical analysis of the EC system’s nonmonotonic threshold-voltage behavior alongside experimental tests, the authors control the SR↔inverse SR transition by varying internal (material) parameters and external noise parameters, including colored-noise cutoff frequency, steepness, and phase noise. They report that the transition can be systematically manipulated, and that tuning colored-noise properties can alter both resonance behaviors. A key limitation stated in the provided text is that it is a preprint (not peer reviewed at the time of posting). The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Noise can play a constructive role in nature and various engineering systems. Over the past four decades, noise-induced stochastic resonances (SRs) have been extensively documented, showing enhancement in system performance. Additionally, inverse SR has been observed in various systems. Typically, these resonances were studied independently. A transition between these resonances was recently observed in an alternating current-driven liquid-crystal electroconvection (EC) system using combined amplitude and phase noises. This study uses internal (material) and external (noise) parameters to demonstrate the control of this transition. Specifically, the nonmonotonic threshold voltage behavior of the EC system, indicative of the resonances, was numerically examined using additional parameters. Experimental tests were conducted to confirm the effects of these parameters. The findings reveal that the transition between these resonances can be systematically controlled to meet specific needs, whether desirable or undesirable system performances. Notably, this study illustrates how to modify the behavior of both resonances in colored noise by adjusting its cutoff frequency and steepness and phase noise, which is often overlooked. Moreover, this study provides valuable insights for various noise-related applications.
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Sculpting Stochastic Dynamics: Manipulating Conductivity and Noise for Transitioning between Stochastic and Inverse Stochastic Resonances in Liquid- Crystal Electroconvection | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Sculpting Stochastic Dynamics: Manipulating Conductivity and Noise for Transitioning between Stochastic and Inverse Stochastic Resonances in Liquid- Crystal Electroconvection Jong-Hoon Huh, Takumi Higashi, Yuki Sato This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4628732/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Noise can play a constructive role in nature and various engineering systems. Over the past four decades, noise-induced stochastic resonances (SRs) have been extensively documented, showing enhancement in system performance. Additionally, inverse SR has been observed in various systems. Typically, these resonances were studied independently. A transition between these resonances was recently observed in an alternating current-driven liquid-crystal electroconvection (EC) system using combined amplitude and phase noises. This study uses internal (material) and external (noise) parameters to demonstrate the control of this transition. Specifically, the nonmonotonic threshold voltage behavior of the EC system, indicative of the resonances, was numerically examined using additional parameters. Experimental tests were conducted to confirm the effects of these parameters. The findings reveal that the transition between these resonances can be systematically controlled to meet specific needs, whether desirable or undesirable system performances. Notably, this study illustrates how to modify the behavior of both resonances in colored noise by adjusting its cutoff frequency and steepness and phase noise, which is often overlooked. Moreover, this study provides valuable insights for various noise-related applications. Physical sciences/Physics/Condensed matter physics/Phase transitions and critical phenomena Physical sciences/Physics/Statistical physics thermodynamics and nonlinear dynamics Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 18 Sep, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 08 Jul, 2024 Reviews received at journal 05 Jul, 2024 Reviews received at journal 04 Jul, 2024 Reviewers agreed at journal 28 Jun, 2024 Reviewers agreed at journal 28 Jun, 2024 Reviewers invited by journal 28 Jun, 2024 Editor assigned by journal 27 Jun, 2024 Editor invited by journal 27 Jun, 2024 Submission checks completed at journal 26 Jun, 2024 First submitted to journal 24 Jun, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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