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Mass excess estimations using artificial neural networks 

Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Applied Radiation and Isotopes, 2022)
Mass excess knowledge is important to investigate the fundamental properties of atomic nuclei. It is a meaningful and important parameter for the determinations of nucleon binding energy, nuclear reaction Q value, energy ...
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Effects of deuteron optical model potentials on the production cross-section calculations of 66-68Ga 66 - 68Ga from natZn and natGe 

Şekerci, Mert; Özdoğan, Hasan; Kaplan, Abdullah (Modern Physics Letters A, 2022)
Since it was reported that several radioisotopes might be advantageous for different medical uses in diagnostics and therapeutics, they have gained significance. Theoretical and experimental researches on such radioisotopes ...
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Estimation of (n,p) reaction cross sections at 14.5 ∓ 0.5 MeV neutron energy by using artificial neural network 

Özdoğan, Hasan (Applied Radiation and Isotopes, 2021)
The aim of this study is to develop an accurate artificial neural network algorithm for the cross-section of (n,p) reactions at 14.5 ∓0.5 MeV neutron energy which is important to developing materials for fusion reactor ...
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Production cross-section calculations of 111In via proton and alpha-induced nuclear reactions 

Özdoğan, Hasan; Sarpün, İsmail Hakkı; Şekerci, Mert; Kaplan, Abdullah (Modern Physics Letters A, 2021)
111In , a known gamma emitter, is used for many medical purposes such as imaging of myocardial metastases. It can be produced by using different nuclear reactions. In this study, the reactions of 109Ag(𝛼,2n)111In, ...
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Investigation of the production routes of Palladium-103 and Iodine-125 radioisotopes 

Üncü, Yiğit Ali; Özdoğan, Hasan; Şekerci, Mert; Kaplan, Abdullah (Radiation Physics and Chemistry, 2023)
The most commonly used radioisotopes are Palladium-103 (103Pd) and Iodine-125 (125I) for interstitial application in brachytherapy. In the present study, different production routes of 103Pd and 125I have been investigated. ...
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A study on the estimations of (n, t) reaction cross-sections at 14.5 MeV by using artificial neural network 

Özdoğan, Hasan; Üncü, Yiğit Ali; Şekerci, Mert; Kaplan, Abdullah (Modern Physics Letters A, 2021)
In this paper, calculations of the (n,t) reaction cross-sections at 14.5 MeV have been presented by utilizing artificial neural network algorithms (ANNs). The systematics are based on the account for the non-equilibrium ...
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206,207Pb(p,xn) reaksiyonu tesir kesiti hesaplamalarına seviye yoğunluğu modellerinin etkilerinin incelenmesi 

Özdoğan, Hasan (Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi, 2021)
Bu çalışmada 206Pb(p,2n)205Bi, 206Pb(p,3n)204Bi, 206Pb(p,5n)202Bi, 207Pb(p,2n)206Bi ve 207Pb(p,3n)205Bi reaksiyon tesir kesitleri TALYS 1.95 kodu ile hesaplanmıştır. Hesaplamalar için Geometri Bağımlı Hibrit Model TALYS ...
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Effects of combining some theoretical models in the cross-section calculations of some alpha-induced reactions for natSb 

Şekerci, Mert; Özdoğan, Hasan; Kaplan, Abdullah (Applied Radiation and Isotopes, 2022)
In cases where it is not possible to obtain the cross-section values experimentally due to various factors, the importance of obtaining them with theoretical models has been explained in many studies available in the ...
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Effects of deuteron optical models on the cross-section calculations of deuteron induced reactions on natural germanium 

Şekerci, Mert; Özdoğan, Hasan; Kaplan, Abdullah (Applied Radiation and Isotopes, 2021)
A common feature of scientific studies is that when experimental observation data are not available, theoretical calculations are used to obtain information about the subject under investigation. In this context, many ...
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Estimations of giant dipole resonance parameters using artificial neural network 

Özdoğan, Hasan; Üncü, Yiğit Ali; Karaman, Onur; Şekerci, Mert; Kaplan, Abdullah (Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...
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AuthorÖzdoğan, Hasan (11)Kaplan, Abdullah (8)Şekerci, Mert (8)Üncü, Yiğit Ali (5)Danışman, Taner (1)Karaman, Onur (1)Sarpün, İsmail Hakkı (1)Subject
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Artificial neural network (4)EXFOR (3)Yapay sinir ağı (3)Cross-section (2)GDR parameters (2)Levenberg–marquardt (2)Optical model (2)Optik model (2)Tesir kesiti (2)... View MoreDate Issued2021 (6)2022 (4)2023 (1)Has File(s)No (10)Yes (1)

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