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

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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Główni autorzy:	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
Język:	Russian
Wydane:	TVER STATE UNIV 2020
Hasła przedmiotowe:	Double iron oxide nanoparticles Neural network modeling Multilayer perception; Response surface Dynamic light scattering method
Dostęp online:	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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