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Estimations of (n, p) reaction cross-sections at 14.5 MeV incident neutron energy by artificial neural networks
(2021)
The cross-sections for (n, p) reactions around 14 MeV are important for nuclear research field and applications of nuclear energy. Also these neutron-induced reactions have been extensively studied in the literature. In ...
Estimation of the wind speed in Sivas province by using the artificial neural networks
(2021)
In this study, the artificial neural network (ANN) method was used for estimating the monthly mean wind speed of Sivas, in the central part of Turkey. Eighteen years of wind speed data obtained from nine measurement stations ...
Neuro-fuzzy modeling of deformation parameters for fusion-barriers
(2021)
The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction ...
Tuning of binding energy, polarizability and photoionization cross-section of a hydrogenic impurity in CdTe/ZnTe core-shell nanostructure by the electric field and capped matrix
(Publisher name ELSEVIER, 2023)
The current work describes in detail the effect of polarization charges on the electronic properties
of core/shell spherical quantum dots (CSQDs) structures composed of CdTe/ZnTe semiconductors. In
the calculations, ...
Effect of dielectric mismatch on impurity binding energy, photoionization cross-section and stark shift of CdS/ZnSe core shell spherical quantum dots Context Sensitive Links 7 of 28 Effect of dielectric mismatch on impurity binding energy, photoionization cross-section and stark shift of CdS/ZnSe core shell spherical quantum dots
(Publisher name IOP Publishing Ltd, 2023)
The variational approach has been used to investigate theoretically the effects of the dot radius and
electric filed strength on binding energy (BE), Stark-shift and photoionization-cross section (PICS) of
donor impurity ...