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Toplam kayıt 19, listelenen: 1-10
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 ...
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 ...
Estimations for (n,a) reaction cross sections at around 14.5MeV using Levenberg-Marquardt algorithm-based artificial neural network
(Elsevier, 2023)
Prediction of neutron-induced reaction cross-sections at around the 14.5 MeV neutron energy is crucial to calculate nuclear transmutation rates, nuclear heating, and radiation damage from gas formation in fusion reactor ...
Effects of deuteron optical model potentials on the production cross-section calculations of 66-68Ga 66 - 68Ga from natZn and natGe
(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 ...
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 ...
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 ...
An investigation on production routes of 230U radioisotope used in targeted alpha therapy by different level density models
(Moscow University Physics Bulletin, 2022)
Targeted alpha therapy (TAT) is an attractive therapeutic option in patients with multiple micrometastases. It offers many advantages, including easy administration, the ability to treat multiple lesions simultaneously and ...
Photo-neutron cross-section calculations of 54,56Fe, 90,91,92,94Zr, 93Nb and 107Ag isotopes with newly obtained giant dipole resonance parameters
(Applied Radiation and Isotopes, 2020)
The knowledge of the interaction of photons with matter is of vital importance to investigate fundamental nu- clear physics problems. Giant dipole resonance (GDR) mechanism is dominant up to 30 MeV at photo-absorption ...
Level density model effects on the production cross-section calculations of some medical isotopes via (α, xn) reactions where x = 1–3
(Modern Physics Letters A, 2020)
Level density models have an undeniable importance for a better perception on the na- ture of nuclear reactions, which influences our life via various ways. Many novel and advanced medical application use radioisotopes, ...
Calculation of double differential neutron cross-sections of 56Fe and 90Zr isotopes
(Applied Radiation and Isotopes, 2023)
This study is concerned with the calculations of double differential neutron cross-sections of the structural fusion materials of 56Fe and 90Zr isotopes that are bombarded with protons. Calculations were performed using ...