首页 | 本学科首页   官方微博 | 高级检索  
     


Investigation of irradiated 1H-Benzo[b]pyrrole by ESR,thermal methods and learning algorithm
Authors:Gulay Algul  Yusuf Ceylan  Hacer Yumurtaci Aydogmus  Ayhan Usta  Biray Asik
Affiliation:1. Department of Physics, Gebze Technical University, Gebze-Kocaeli, Turkey;2. Department of Physics, Selcuk University, Konya, Turkey;3. Department of Industry Engineering, Alanya Alaaddin Keykubat Universty, Antalya, Turkey;4. Department of Mechanical Engineering, Alanya Alaaddin Keykubat University, Antalya, Turkey;5. Department of Physics, Karatekin University, Cankiri, Turkey
Abstract:1H-Benzo[b]pyrrole samples were irradiated in the air with gamma source at 0.969?kGy per hour at room temperature for 24, 48 and 72?h. After irradiation, electron spin resonance, thermogravimetry analysis (TGA) and differential thermal analysis (DTA) measurements were immediately carried out on the irradiated and unirradiated samples. The ESR measurements were performed between 320 and 400?K. ESR spectra were recorded from the samples irradiated for 48 and 72?h. The obtained spectra were observed to be dependent on temperature. Two radical-type centres were detected on the sample. Detected radiation-induced radicals were attributed to R-+?NH and R=?CC2H2. The g-values and hyperfine constants were calculated by means of the experimental spectra. It was also determined from TGA spectrum that both the unirradiated and irradiated samples were decomposed at one step with the rising temperature. Moreover, a theoretical study was presented. Success of the machine learning methods was tested. It was found that bagging techniques, which are widely used in the machine learning literature, could optimise prediction accuracy noticeably.
Keywords:ESR spectroscopy  free radicals  1H-Benzo[b]pyrrole  TGA/DTA  learning algorithm
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号