Browsing Fizik Bölümü by Author "0000-0002-8996-3385"
Now showing items 1-8 of 8
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Effect of the Woods-Saxon Spin–Orbit Term on the Nuclear Spectra: 18O Application
Akkoyun, Serkan (20/03/2022)One of the successes in describing the nuclear structure correctly is taking into account the spin–orbit interaction. Thus, single-particle energies and nuclear magic numbers can be obtained accurately. The main subject ... -
Energy transitions and half-life determinations of Sc isotopes from photonuclear reaction on Ti target
Gökhan Koçak; Serkan Akkoyun; İsmail Boztosun; Haris Dopo (World Scientific Publishing Company, 07/03/2022)For the activation of the target nucleus, bremsstrahlung photons generated in a medical linear accelerator can be used. Due to particle separation energy limitations for low photon energies in the giant resonance region ... -
Estimation of the wind speed in Sivas province by using the artificial neural networks
Akkoyun, Serkan (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 ... -
Estimations of (n, p) reaction cross-sections at 14.5 MeV incident neutron energy by artificial neural networks
Akkoyun, Serkan; Armani, Naima (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 ... -
Estimations of first 2+ energy states of even even nuclei by using artificial neural networks
Fen Fakültesi; 0000-0003-0093-8835; 0000-0002-8996-3385; 0000-0002-6187-0451 (Indian Journal of Physics, 2022)The first excited 2+ energy states of nuclei give much substantial information related to the nuclear structure. All excited states of nuclei are shown regularities in spin, parity, and energy, including these levels. In ... -
Estimations of first 2+ energy states of even even nuclei by using artificial neural networks
Akkoyun Serkan; Kaya Hüseyin; Torun Yunis (Indian Journal of Physics, 2022)The first excited 2+ energy states of nuclei give much substantial information related to the nuclear structure. All excited states of nuclei are shown regularities in spin, parity, and energy, including these levels. In ... -
MODELING OF PATELLA HEIGHT WITH DISTAL FEMUR AND PROXIMAL TIBIA REFERENCE POINTS WITH ARTIFICIAL NEURAL NETWORK
İlhan Otağ; Kaan Çimen; Yunus Torun; Özhan Pazarcı; Serkan Akkoyun; Aynur Otağ; Mehmet Çimen (25/03/2022)The patellofemoral joint is one of the parts of the knee extension mechanism that plays a role in the stability of the knee by enlarging the force arm of the quadriceps muscle and changing the direction of the muscle ... -
Neuro-fuzzy modeling of deformation parameters for fusion-barriers
Akkoyun, Serkan (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 ...