An ESR Study on 2,4 Diaminotoluene Exposed to Gamma Rays and Application of Machine Learning

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dc.contributor.authorCeylan, Y.
dc.contributor.authorUsta, K.
dc.contributor.authorAydogmus, H. Yumurtaci
dc.contributor.authorUsta, A.
dc.contributor.authorCeylan, N.
dc.contributor.authorAras, E.
dc.date.accessioned2020-03-26T19:23:02Z
dc.date.available2020-03-26T19:23:02Z
dc.date.issued2016
dc.departmentSelçuk Üniversitesien_US
dc.description2nd International Conference on Computational and Experimental Science and Engineering (ICCESEN) -- OCT 14-19, 2015 -- Kemer, TURKEYen_US
dc.description.abstractThe polycrystals of 2,4 diaminotoluene were produced by slow evaporation of solvent. The polycrystalline samples were exposed to Co-60 gamma rays with dose rate of 0.950 kGy/h, at room temperature, for 12, 24, 48, and 72 hours. The electron paramagnetic resonance measurements were carried out on these samples in the temperature range between 298 K and 400 K. No electron paramagnetic resonance signal was observed in the samples irradiated for 12, 24, 48 hours. Two types of radicals were detected using ESR spectrometer in the sample irradiated for 72 h. These radiation damage centers were called RI and RII. The average values of g and the hyperfine coupling constant were calculated. This study also investigates the potential usage of machine learning methods and aims to test the success of these methods and to select the best method.en_US
dc.description.provenanceMade available in DSpace on 2020-03-26T19:23:02Z (GMT). No. of bitstreams: 0 Previous issue date: 2016en
dc.identifier.doi10.12693/APhysPolA.130.184en_US
dc.identifier.endpage187en_US
dc.identifier.issn0587-4246en_US
dc.identifier.issn1898-794Xen_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage184en_US
dc.identifier.urihttps://dx.doi.org/10.12693/APhysPolA.130.184
dc.identifier.urihttps://hdl.handle.net/20.500.12395/33241
dc.identifier.volume130en_US
dc.identifier.wosWOS:000384810700048en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPOLISH ACAD SCIENCES INST PHYSICSen_US
dc.relation.ispartofACTA PHYSICA POLONICA Aen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleAn ESR Study on 2,4 Diaminotoluene Exposed to Gamma Rays and Application of Machine Learningen_US
dc.typeArticleen_US

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