High-precision detection modeling reveals fundamental structural scales of amorphous materials

High-precision detection modeling reveals fundamental structural scales of amorphous materials | 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 Physical Sciences - Article High-precision detection modeling reveals fundamental structural scales of amorphous materials Wen Zheng, Jiamei Cui, Yexin Lai, Yanjun Liu, Y.-H Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4677677/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 The characterization of amorphous materials has been a long-standing challenge in materials science due to their lack of long-range order, which makes it difficult to define structural metrics. Here, we describe a 2D amorphous system-based high-precision detection model(HPDM) that utilizes the concepts of “bag” and instances to achieve image-level classification to structure-level segmentation of amorphous systems without any additional dynamical information. We introduce an order parameter that describes the structural evolution in amorphous phase transitions and demonstrate the accuracy of HPDM in detecting amorphous microstructures. A fundamental structural scale for 2D amorphous systems can be obtained based on the optimal detection dimensions of HPDM for finite-scale systems, eliminating the need to calculate structural and dynamical information. Our findings and methodology hold significant scientific implications for understanding the nature of disordered structures in amorphous materials. Physical sciences/Physics/Condensed-matter physics/Phase transitions and critical phenomena Physical sciences/Mathematics and computing/Computer science Physical sciences/Materials science/Condensed-matter physics/Structure of solids and liquids Amorphous materials High-precision detection model Recognition of amorphous structures Fundamental structural scale Full Text Additional Declarations There is NO Competing Interest. 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. We do this by developing innovative software and high quality services for the global research community. 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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-4677677","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Physical Sciences - Article","associatedPublications":[],"authors":[{"id":324510845,"identity":"126570d9-40ea-4bb9-a8ca-a1dc276f2f3c","order_by":0,"name":"Wen Zheng","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIiWNgGAWjYDACCSjNz8DYQKIWyQaoFh6itRgcgDIIapGf3Xzs4dc2mzzja4cbP1dU1MnbszcwfviYg1sL45xj6caybWnFZrcTmyXPnDls2MNzgFly5jbcWpglcsykJbcdTtx2O7GNsbHtAGOPRAIbMy8eLWwS+d+AWv4nbp4N1lJn3yP/AL8WHokcNsmP2w4kbpAGa2FO7JFgwK9FQiLNTJrxX3LiDJBfGs4cTu45A2Tg84v8jORnkj/O2CX2z05/+LGhos62vf3wwQ8f8WgBBwFaVBCRDBh/EFQyCkbBKBgFIxoAAGY6US7GyKJGAAAAAElFTkSuQmCC","orcid":"","institution":"Innovation Academy for Microsatellites of Chinese Academy of Sciences","correspondingAuthor":true,"prefix":"","firstName":"Wen","middleName":"","lastName":"Zheng","suffix":""},{"id":324510846,"identity":"10ff8be8-1efa-4318-a00f-6bb7e4299751","order_by":1,"name":"Jiamei Cui","email":"","orcid":"","institution":"Innovation Academy for Microsatellites of Chinese Academy of Sciences","correspondingAuthor":false,"prefix":"","firstName":"Jiamei","middleName":"","lastName":"Cui","suffix":""},{"id":324510847,"identity":"c174998f-6b7f-4497-bf1b-de57d6573d30","order_by":2,"name":"Yexin Lai","email":"","orcid":"","institution":"College of Computer Science and Technology (College of Data Science), Taiyuan University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yexin","middleName":"","lastName":"Lai","suffix":""},{"id":324510848,"identity":"da11e6b9-69b6-479e-aa16-bec55e3b5831","order_by":3,"name":"Yanjun Liu","email":"","orcid":"","institution":"Innovation Academy for Microsatellites of Chinese Academy of Sciences","correspondingAuthor":false,"prefix":"","firstName":"Yanjun","middleName":"","lastName":"Liu","suffix":""},{"id":324510849,"identity":"d164e790-cd9c-4096-8540-928726524426","order_by":4,"name":"Y.-H Zhang","email":"","orcid":"","institution":"Innovation Academy for Microsatellites, Chinese Academy of Sciences","correspondingAuthor":false,"prefix":"","firstName":"Y.-H","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2024-07-03 05:10:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4677677/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4677677/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61371653,"identity":"30dadee2-e2de-42ee-b791-97a2a74d922a","added_by":"auto","created_at":"2024-07-30 03:11:43","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":9711730,"visible":true,"origin":"","legend":"Article File","description":"","filename":"0703HPDMnature.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4677677/v1_covered_3f4b56bf-7a64-435f-a5c8-56249d8bc0ab.pdf"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e Competing Interest.","formattedTitle":"High-precision detection modeling reveals fundamental structural scales of amorphous materials","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"nature-portfolio","isNatureJournal":true,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"","title":"Nature Portfolio","twitterHandle":"","acdcEnabled":false,"dfaEnabled":false,"editorialSystem":"ejp","reportingPortfolio":"","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Amorphous materials, High-precision detection model, Recognition of amorphous structures, Fundamental structural scale","lastPublishedDoi":"10.21203/rs.3.rs-4677677/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4677677/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"The characterization of amorphous materials has been a long-standing challenge in materials science due to their lack of long-range order, which makes it difficult to define structural metrics. 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