Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/11478
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBlinov, A. V.-
dc.contributor.authorБлинов, А. В.-
dc.contributor.authorGvozdenko, A. A.-
dc.contributor.authorГвозденко, А. А.-
dc.contributor.authorYasnaya, M. A.-
dc.contributor.authorЯсная, М. А.-
dc.contributor.authorGolik, A. B.-
dc.contributor.authorГолик, А. Б.-
dc.contributor.authorBlinova, A. A.-
dc.contributor.authorБлинова, А. А.-
dc.contributor.authorShevchenko, I. M.-
dc.contributor.authorШевченко, И. М.-
dc.contributor.authorKramarenko, V. N.-
dc.contributor.authorКрамаренко, В. Н.-
dc.date.accessioned2020-02-21T08:19:56Z-
dc.date.available2020-02-21T08:19:56Z-
dc.date.issued2019-
dc.identifier.citationBlinov, AV; Gvozdenko, AA; Yasnaya, MA; Golik, AB; Blinova, AA; Shevchenko, IM; Kramarenko, VN. Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research // PHYSICAL AND CHEMICAL ASPECTS OF THE STUDY OF CLUSTERS NANOSTRUCTURES AND NANOMATERIALS. - 2019. - Выпуск: 11. - Стр.: 298-306ru
dc.identifier.urihttp://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=7&SID=E1foOAlVMmMF3jxHUZa&page=1&doc=1-
dc.identifier.urihttp://hdl.handle.net/20.500.12258/11478-
dc.description.abstractOur research shows the possibility of using the neural-network processing of experimental data to study the influence of various factors on the process of synthesis of nanoscale Iron (II, III) oxide. A mathematical model was obtained which adequately describes the effect of temperature, stabilizer mass and precipitant quantity on the size of nanoparticles of Iron (II, III) oxide. The optimal synthesis conditions were determined, which provide a high content of Fe3O4 particles with an average hydrodynamic radius less than 100 nmru
dc.language.isoruru
dc.publisherTVER STATE UNIVru
dc.relation.ispartofseriesPHYSICAL AND CHEMICAL ASPECTS OF THE STUDY OF CLUSTERS NANOSTRUCTURES AND NANOMATERIALS-
dc.subjectDouble iron oxide nanoparticlesru
dc.subjectNeural network modelingru
dc.subjectMultilayer perception;ru
dc.subjectResponse surfaceru
dc.subjectDynamic light scattering methodru
dc.titleEffect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network researchru
dc.typeСтатьяru
vkr.amountСтр.: 298-306ru
vkr.instИнженерный институтru
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

Files in This Item:
File Description SizeFormat 
WoS 773 .pdf2.2 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.