Intrinsic Neuromorphic Behaviors in PEDOT/PSS Nanoscale Networks and their Enhancement via Ethylene Glycol Doping

Intrinsic Neuromorphic Behaviors in PEDOT/PSS Nanoscale Networks and their Enhancement via Ethylene Glycol Doping | 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 Intrinsic Neuromorphic Behaviors in PEDOT/PSS Nanoscale Networks and their Enhancement via Ethylene Glycol Doping Takuya Matsumoto, SURAJIT SARKAR, Yuta Nishimura, Hitomi Hokonohara, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8679088/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract As artificial intelligence expands across all aspects of society, the demand for computational resources and electrical power continues to grow, motivating the exploration of energy-efficient alternatives to conventional computing. Physical computation, which exploits the intrinsic properties of materials, has therefore attracted increasing attention. Here, we demonstrate that solid-state PEDOT/PSS network films connected to nanoscale electrodes exhibit nonlinear and history-dependent current responses, enabling intrinsic neuromorphic behavior. Benchmark waveform generation tasks show significantly higher accuracy than microscale devices, indicating that PEDOT/PSS nanoscale networks function as intrinsic neural networks. Incorporation of ethylene glycol (EG) further enhances neuromorphic performance by tuning electrical conductivity, nonlinearity, dimensionality, and waveform generation accuracy. X-ray photoelectron spectroscopy and atomic force microscopy reveal EG-induced modifications in chemical structure and domain size. Three-dimensional variable range hopping dominates charge transport, while EG tuning the density of states governs the localization-delocalization balance. An optimal balance is realized for EG3, enabling strong nonlinearity and high-performance waveform generation. Physical sciences/Materials science/Materials for devices/Electronic devices Physical sciences/Materials science/Nanoscale materials/Electronic properties and materials Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Supplementaryinformation.docx Intrinsic Neuromorphic Behaviors in PEDOT/PSS Nanoscale Networks and their Enhancement via Ethylene Glycol Doping Cite Share Download PDF Status: Under Review Version 1 posted 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-8679088","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":586688227,"identity":"7979a115-e620-4303-ae96-e046b3d3724d","order_by":0,"name":"Takuya 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