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Toplam kayıt 5, listelenen: 1-5
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 ...
206,207Pb(p,xn) reaksiyonu tesir kesiti hesaplamalarına seviye yoğunluğu modellerinin etkilerinin incelenmesi
(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 ...
Estimations of (n,alpha) reaction cross sections using bayesian classsifier
(XV. International Conference on Nuclear Structure Properties, 2022)
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 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 ...
