Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research

Our 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 m...

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Auteurs principaux:	Blinov, A. V., Блинов, А. В., Gvozdenko, A. A., Гвозденко, А. А., Yasnaya, M. A., Ясная, М. А., Golik, A. B., Голик, А. Б., Blinova, A. A., Блинова, А. А., Shevchenko, I. M., Шевченко, И. М., Kramarenko, V. N., Крамаренко, В. Н.
Format:	Статья
Langue:	Russian
Publié:	TVER STATE UNIV 2020
Sujets:	Double iron oxide nanoparticles Neural network modeling Multilayer perception; Response surface Dynamic light scattering method
Accès en ligne:	http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=7&SID=E1foOAlVMmMF3jxHUZa&page=1&doc=1 https://dspace.ncfu.ru/handle/20.500.12258/11478
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id	ir-20.500.12258-11478
record_format	dspace
spelling	ir-20.500.12258-114782020-10-27T12:42:32Z Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research Blinov, A. V. Блинов, А. В. Gvozdenko, A. A. Гвозденко, А. А. Yasnaya, M. A. Ясная, М. А. Golik, A. B. Голик, А. Б. Blinova, A. A. Блинова, А. А. Shevchenko, I. M. Шевченко, И. М. Kramarenko, V. N. Крамаренко, В. Н. Double iron oxide nanoparticles Neural network modeling Multilayer perception; Response surface Dynamic light scattering method Our 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 nm 2020-02-21T08:19:56Z 2020-02-21T08:19:56Z 2019 Статья Blinov, 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.: 298-306 http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=7&SID=E1foOAlVMmMF3jxHUZa&page=1&doc=1 http://hdl.handle.net/20.500.12258/11478 ru PHYSICAL AND CHEMICAL ASPECTS OF THE STUDY OF CLUSTERS NANOSTRUCTURES AND NANOMATERIALS application/pdf TVER STATE UNIV
institution	СКФУ
collection	Репозиторий
language	Russian
topic	Double iron oxide nanoparticles Neural network modeling Multilayer perception; Response surface Dynamic light scattering method
spellingShingle	Double iron oxide nanoparticles Neural network modeling Multilayer perception; Response surface Dynamic light scattering method Blinov, A. V. Блинов, А. В. Gvozdenko, A. A. Гвозденко, А. А. Yasnaya, M. A. Ясная, М. А. Golik, A. B. Голик, А. Б. Blinova, A. A. Блинова, А. А. Shevchenko, I. M. Шевченко, И. М. Kramarenko, V. N. Крамаренко, В. Н. Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
description	Our 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 nm
format	Статья
author	Blinov, A. V. Блинов, А. В. Gvozdenko, A. A. Гвозденко, А. А. Yasnaya, M. A. Ясная, М. А. Golik, A. B. Голик, А. Б. Blinova, A. A. Блинова, А. А. Shevchenko, I. M. Шевченко, И. М. Kramarenko, V. N. Крамаренко, В. Н.
author_facet	Blinov, A. V. Блинов, А. В. Gvozdenko, A. A. Гвозденко, А. А. Yasnaya, M. A. Ясная, М. А. Golik, A. B. Голик, А. Б. Blinova, A. A. Блинова, А. А. Shevchenko, I. M. Шевченко, И. М. Kramarenko, V. N. Крамаренко, В. Н.
author_sort	Blinov, A. V.
title	Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
title_short	Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
title_full	Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
title_fullStr	Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
title_full_unstemmed	Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
title_sort	effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research
publisher	TVER STATE UNIV
publishDate	2020
url	http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=7&SID=E1foOAlVMmMF3jxHUZa&page=1&doc=1 https://dspace.ncfu.ru/handle/20.500.12258/11478
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Effect of synthesis parameters on dimensional characteristics of fe3o4 nanoparticles: neural-network research

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