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Investigation of the effects of different composite materials on neutron contamination caused by medical LINAC
(Kerntechnik, 2020)
In a medical linear accelerator, the primary and secondary collimators are generally made of high atomic weight metals. The energy of the x-rays generated by accelerated electrons exceeds the bonding energies of high atomic ...
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 ...
Estimating currents from action potentials using single and multi-output neural network models
(Second International Congress on Biological and Health Sciences, 2022)
Ion channels are water-filled pores formed by membrane proteins abundant in excitable cells' plasma
membranes. Ion channels are responsible for converting signals into biological responses. They are primarily
engaged in ...
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 (n,alpha) reaction cross sections using bayesian classsifier
(XV. International Conference on Nuclear Structure Properties, 2022)
Influence of Nd2O3 on radiation shielding and elastic properties of TeO2–MgO–Na2O glasses: a simulation study by PHITS and MCNP
(2023)
This study investigates the elastic properties and the photon and neutron shielding properties of TeO2–MgO–Na2O–Nd2O3 glasses, as well as the mass stopping power and projected range of alpha and proton charged particles ...
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 ...
Mamografi sistemlerinde ilgi alanı türev ve ince gruplama seçimlerinin modülasyon transfer fonksiyonunun üzerine etkileri
(Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi, 2020)
Bu çalışmada, mamografi sisteminin görüntü kalitesi matematiksel yöntemler ile ölçülmüştür. Mamografi sistemlerinde performans ölçümleri için uygulanan yeni yöntemler, bu sistemlerin görüntü kalitesinin sayısal olarak ...
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, ...
