Comprehensive Numerical Modeling of Silicon Tunnel Junction for Application in Multijunction Monolithic Solar Cells | 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 Research Article Comprehensive Numerical Modeling of Silicon Tunnel Junction for Application in Multijunction Monolithic Solar Cells A. E. Atamuratov, B. Q. Jumaboev, M. M. Khalilloev, D. Sh. Satimova, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7725806/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 To enhance the efficiency of solar cells, various device architectures have been proposed, among which multi-junction solar cells designed for concentrator systems are of particular interest. In such multi-junction solar cells, the interconnection of subcells via tunnel junctions is both technologically advantageous and convenient. Moreover, in modern electronics, with the continuous downscaling of semiconductor devices, tunneling currents at the interfaces of different layers become increasingly important. For the modeling of devices based on tunneling processes, particularly in silicon-based devices, a comprehensive methodology, algorithm, and corresponding models have not yet been fully established. In this work, an attempt has been made to develop such an approach for modeling, to identify appropriate models and simulation parameters that adequately reproduce the tunneling current in a tunnel junction. The study considers and compares the results obtained using the nonlocal barrier tunneling model and the Dynamic Nonlocal Path Band-to-Band Recombination model for the calculation of the current–voltage characteristics of a silicon tunnel diode. The results demonstrate that the use of the Dynamic Nonlocal Path Band-to-Band Recombination model, in combination with the classical SRH recombination model—which incorporates tunneling-assisted recombination according to the Hurkx model and accounts for the dependence of recombination parameters on the doping level, including trap-assisted recombination—provides J–V characteristics consistent with those observed in experimental tunnel junctions. Silicon tunnel junction vertical solar cell dual junction solar cell nonlocal barrier tunneling model Dynamic Nonlocal Path Band-to-Band Recombination Model Full Text Additional Declarations No competing interests reported. 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-7725806","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":531910859,"identity":"73cff68a-2c15-4cd8-9df5-cf2a874fd5f3","order_by":0,"name":"A. E. 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