Parallel Reservoir Computing Exploiting a Single MEMS Device via Blue Sideband Excitation

Parallel Reservoir Computing Exploiting a Single MEMS Device via Blue Sideband Excitation | 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 Parallel Reservoir Computing Exploiting a Single MEMS Device via Blue Sideband Excitation Yuan Wang, Yueyang Li, Yu Qian, Fangzhou Chen, Yancheng Lian, and 12 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9401817/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract Physical reservoir computing (PRC) offers a promising pathway for energy-efficient edge intelligence; however, existing micro-electromechanical systems (MEMS) implementations struggle to balance computational dimensionality with hardware complexity. Here, we introduce a parallel reservoir architecture realized within a single MEMS resonator via Blue Sideband Excitation (BSE). Unlike traditional approaches that rely on physical arrays or time-multiplexing, which often compromise structural complexity or processing speed—we utilize a unique combined-frequency driving scheme to simultaneously activate two distinct modes into their nonlinear regimes. This strategy effectively constructs two independent, parallel processing channels within a single device footprint, doubling the state-space dimensionality without increasing fabrication overhead. Built upon such a mechanism, it is demonstrated that fusing features from these co-existing modes can significantly enhance the reservoir computing ability of the proposed system for complex classification tasks. Therefore, the results suggest that exploiting the inherent multi-modal dynamics of continuous mechanical structures provides a scalable, wide-bandwidth solution for overcoming the dimensionality-bandwidth trade-off in next-generation computing hardware. Physical sciences/Engineering/Electrical and electronic engineering Physical sciences/Engineering Full Text Additional Declarations There is no conflict of interest Cite Share Download PDF Status: Under Review Version 1 posted Review # 1 received at journal 09 May, 2026 Reviewer # 3 agreed at journal 02 May, 2026 Review # 2 received at journal 24 Apr, 2026 Reviewer # 2 agreed at journal 20 Apr, 2026 Reviewer # 1 agreed at journal 16 Apr, 2026 Reviewers invited by journal 16 Apr, 2026 Submission checks completed at journal 15 Apr, 2026 Editor assigned by journal 13 Apr, 2026 First submitted to journal 13 Apr, 2026 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. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9401817","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":624089292,"identity":"2e63c5be-ffe7-439c-ac82-93f83c9f16f3","order_by":0,"name":"Yuan 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