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Toplam kayıt 6, listelenen: 1-6
Estimations of giant dipole resonance parameters using artificial neural network
(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 ...
Production cross-section and reaction yield calculations for 123-126I isotopes on 123Sb(α,xn) reactions
(Kuwait Journal of Science, 2021)
Most of the radioisotopes used in the medical fields, like examination and treatment studies, were produced by employing nuclear reactions. Within the process of a nuclear reaction, one of the most important parameters is ...
Effects of deuteron optical models on the cross-section calculations of deuteron induced reactions on natural germanium
(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 ...
Production cross-section calculations of 111In via proton and alpha-induced nuclear reactions
(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, ...
Estimations of level density parameters by using artificial neural network for phenomenological level density models
(Applied Radiation and Isotopes, 2021)
The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ...
A study on the estimations of (n, t) reaction cross-sections at 14.5 MeV by using artificial neural network
(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 ...