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


Ceylan Y., Usta K., Aydogmus H. Y., Usta A., Ceylan N., Aras E.

ACTA PHYSICA POLONICA A, cilt.130, sa.1, ss.184-187, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 130 Sayı: 1
  • Basım Tarihi: 2016
  • Doi Numarası: 10.12693/aphyspola.130.184
  • Dergi Adı: ACTA PHYSICA POLONICA A
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.184-187
  • Gazi Üniversitesi Adresli: Evet

Özet

The 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.