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Now showing items 11-16 of 16
Estimation of (n,p) reaction cross sections at 14.5 ∓ 0.5 MeV neutron energy by using artificial neural network
(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 ...
A study on the cross-section data of 43,44m,46,47Sc isotopes via (d,x) reactions on natural abundance targets under the effects of deuteron optical models
(Applied Radiation and Isotopes, 2023)
Many studies have investigated the influence of theoretical models and factors involved in the acquisition of cross-section data of a nuclear reaction. The implications of different models of various variables such as level ...
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 ...
Calculations of GDR parameters for deformed nuclei using LogitBoost classifier and artificial neural network
(Modern Physics Letters A, 2022)
Photo-nuclear interactions are important for investigating fundamental nuclear physics phenomena. The photo-absorption cross-section energy curve displays a wide resonance called giant dipole resonance (GDR) until 30 MeV. ...
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 ...
Estimations for the production cross sections of medical 61, 64, 67Cu radioisotopes by using bayesian regularized artificial neural networks in (p, α) reactions
(Arabian Journal of Science and Engineering, 2023)
Copper (Cu), which is produced in cyclotrons or reactors, is a significant tracer in the human body. Bayesian regularized artificial neural networks (ANNs) algorithm, which is one of the ANN approaches, was used in analyzing ...
