Algül, GülayCeylan, YusufUsta, KezibanAydoğmuş, Hacer YumurtacıUsta, AyhanAşık, Biray2020-03-262020-03-2620161042-01501029-4953https://dx.doi.org/10.1080/10420150.2016.1203925https://hdl.handle.net/20.500.12395/337321H-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-+center dot NH and R=(center dot)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.en10.1080/10420150.2016.1203925info:eu-repo/semantics/closedAccessESR spectroscopyfree radicals1H-Benzo[b] pyrroleTGA/DTAlearning algorithmArticle17105.06.2020451460Q3WOS:000382221100008Q4