New model to predict thermomagnetic properties of nanostructured magnetic compounds

New model to predict thermomagnetic properties of nanostructured magnetic compounds | 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 New model to predict thermomagnetic properties of nanostructured magnetic compounds Denis Gokhfeld, Michael R. Koblischka, Anjela Koblischka-Veneva This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5180118/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 The development of new materials showing the magneto-caloric effect (MCE) requires fast and reliable characterization methods. For this purpose, a phenomenological model developed by M. A. Hamad has proven to be a useful tool to predict the magnetocaloric properties (the isothermal magnetic entropy change, Δ S M , the magnetization-related change of the specific heat, Δ C P,H , and the relative cooling power, RCP) via calculation from magnetization measurements as a function of temperature, M(T) . However, fitting the M(T) data is difficult for broad, smoothed-out transition curves which are often observed for material systems such as core-shell nanoparticles, nanowires, nanowire fabrics or nanoparticle hybrid materials. Thus, in this contribution we present a different approach enabling proper fitting of such magnetization data via the use of the asymmetric Boltzmann sigmoid function. As examples, we present fits to M(T) curves of polycrystalline, bulk La 0.67 Ba 0.33 MnO 3 as well as La 1-x Sr x MnO 3 (x = 0.2, 0.3, 0.4) and La 0.7 Ca 0.3 MnO 3 nanostructured materials from various authors. Hard Condensed-matter Physics MCE effect magneto-caloric materials magnetic refrigeration Curie temperature paramagnetic-ferromagnetic transition modelling Full Text Additional Declarations The authors declare no competing interests. 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-5180118","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":360586486,"identity":"7504ab8f-aece-4324-9df0-635ebcd27047","order_by":0,"name":"Denis Gokhfeld","email":"","orcid":"https://orcid.org/0000-0001-9049-9973","institution":"Kirensky Institute of Physics","correspondingAuthor":false,"prefix":"","firstName":"Denis","middleName":"","lastName":"Gokhfeld","suffix":""},{"id":360586487,"identity":"2e96a881-9a71-4c45-9854-8c9948b621bb","order_by":1,"name":"Michael R. 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For this purpose, a phenomenological model developed by M. A. Hamad has proven to be a useful tool to predict the magnetocaloric properties (the isothermal magnetic entropy change, Δ\u003cem\u003eS\u003c/em\u003e\u003csub\u003eM\u003c/sub\u003e, the magnetization-related change of the specific heat, Δ\u003cem\u003eC\u003c/em\u003e\u003csub\u003eP,H\u003c/sub\u003e, and the relative cooling power, RCP) via calculation from magnetization measurements as a function of temperature, \u003cem\u003eM(T)\u003c/em\u003e. However, fitting the \u003cem\u003eM(T)\u003c/em\u003e data is difficult for broad, smoothed-out transition curves which are often observed for material systems such as core-shell nanoparticles, nanowires, nanowire fabrics or nanoparticle hybrid materials. Thus, in this contribution we present a different approach enabling proper fitting of such magnetization data via the use of the asymmetric Boltzmann sigmoid function. As examples, we present fits to \u003cem\u003eM(T)\u003c/em\u003e curves of polycrystalline, bulk La\u003csub\u003e0.67\u003c/sub\u003eBa\u003csub\u003e0.33\u003c/sub\u003eMnO\u003csub\u003e3\u003c/sub\u003e as well as La\u003csub\u003e1-x\u003c/sub\u003eSr\u003csub\u003ex\u003c/sub\u003eMnO\u003csub\u003e3\u003c/sub\u003e (x = 0.2, 0.3, 0.4) and La\u003csub\u003e0.7\u003c/sub\u003eCa\u003csub\u003e0.3\u003c/sub\u003eMnO\u003csub\u003e3\u003c/sub\u003e nanostructured materials from various authors.\u003c/p\u003e","manuscriptTitle":"New model to predict thermomagnetic properties of nanostructured magnetic compounds","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-01 01:05:17","doi":"10.21203/rs.3.rs-5180118/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"38f8943d-6cf8-4c4e-9568-927d02754d02","owner":[],"postedDate":"October 1st, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":38359343,"name":"Hard Condensed-matter Physics"}],"tags":[],"updatedAt":"2024-10-01T01:05:17+00:00","versionOfRecord":[],"versionCreatedAt":"2024-10-01 01:05:17","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5180118","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5180118","identity":"rs-5180118","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}