Polycrystalline Perovskite Wafers as an Efficient Multisensory Integration Platform for Neuromorphic Computing

Polycrystalline Perovskite Wafers as an Efficient Multisensory Integration Platform for Neuromorphic Computing | 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 Polycrystalline Perovskite Wafers as an Efficient Multisensory Integration Platform for Neuromorphic Computing Gang Liu, Shu Zhou, Lue Zhou, Shuyao Han, Hengyu Zhang, Guixiang Liu, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7849696/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Neuromorphic computing requires materials that integrate adaptive functionalities with scalable, cost-effective fabrication. Halide perovskites offer exceptional optoelectronic performance, but single-crystal growth is prohibitively costly and limits wafer-scale integration. Inspired by the transition from single- to polycrystalline silicon, we develop polycrystalline perovskite wafers (PPWs) via a mechanochemically coupled sintering strategy, achieving high-yield and low-cost fabrication with wafer-scale uniformity and engineered trap states. The resulting PPWs enable highly stable and linear electrical synaptic programming, as well as fully optical modulation of excitatory and inhibitory states through wavelength-selective excitation that leverages both bandgap and sub-bandgap absorption processes. These capabilities support associated retinal-inspired visual perception and auditory motion detection, achieving over 90% multimodal vehicle recognition accuracy when integrated into a spiking neural network. Beyond neuromorphic computing, PPWs provide a versatile and sustainable platform for photodetection, multispectral imaging, and X-ray sensing, combining scalability, robustness, and multifunctionality for next-generation optoelectronic technologies. Physical sciences/Materials science/Materials for devices Physical sciences/Engineering/Electrical and electronic engineering Halide perovskites optoelectronic synapses wafer integration bandgap and sub-bandgap absorption neuromorphic computing Full Text Additional Declarations There is NO Competing Interest. Supplementary Files SupplementaryInformation.docx Supplemental Information Cite Share Download PDF Status: Posted 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. 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. 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-7849696","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":529387708,"identity":"cfa505ea-52c9-4533-9eb8-40741f85cf10","order_by":0,"name":"Gang 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Halide perovskites offer exceptional optoelectronic performance, but single-crystal growth is prohibitively costly and limits wafer-scale integration. Inspired by the transition from single- to polycrystalline silicon, we develop polycrystalline perovskite wafers (PPWs) \u003cem\u003evia\u003c/em\u003e a mechanochemically coupled sintering strategy, achieving high-yield and low-cost fabrication with wafer-scale uniformity and engineered trap states. The resulting PPWs enable highly stable and linear electrical synaptic programming, as well as fully optical modulation of excitatory and inhibitory states through wavelength-selective excitation that leverages both bandgap and sub-bandgap absorption processes. These capabilities support associated retinal-inspired visual perception and auditory motion detection, achieving over 90% multimodal vehicle recognition accuracy when integrated into a spiking neural network. 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