Search
Now showing items 171-180 of 190
Estimation of fission barrier heights for even–even superheavy nuclei using machine learning approaches
(2023/3/21)
With the fission barrier height information, the survival probabilities of super-
heavy nuclei can also be reached. Therefore, it is important to have accurate
knowledge of fission barriers, for example, the discovery ...
Predicting -decay energy with machine learning
(2023/3/15)
Q β represents one of the most important factors characterizing unstable nuclei, as it can lead to a better understanding of nuclei behavior and the origin of heavy atoms. Recently, machine learning methods have been shown ...
Estimation of the S34 (0) S-factor for 3He (α, γ) 7Be reaction by using distorted wave born approximation and artificial neural network
(2023/9/6)
The astrophysical S-factor and total cross-section of radiative capture reaction are analyzed using the first-order distorted wave born approximation and artificial neural network. To make estimations of S 34 (0) at ...
Projected sensitivityto dimension-6 triple gauge couplings at the FCC-hh
(2023)
s=100TeV to examine the anomalous WWγcouplings defined by three CP-conserving and two CP-violating effective operators of dimension-6. The analysis containing the realistic detector effects is carried out in the mode where ...
Study of the projected sensitivity on the anomalous quartic gauge couplings via Zγγ production at the CLIC
(2023)
Gauge boson self-couplings are completely defined by the non-Abelian gauge symmetry of the Standard Model (SM). For this reason, a direct search for these couplings is extremely significant in understanding the gauge ...
Applications of different machine learning methods on nuclear charge radius estimations
(2023/11/21)
Theoretical models come into play when the radius of nuclear charge, one of the most fundamental properties of atomic nuclei, cannot be measured using different experimental techniques. As an alternative to these models, ...
Neural network predictions of (n, 2n) reaction cross-sections at 14.6 MeV incident neutron energy
(2023/1/1)
In this study, we have estimated the (n,2n) reaction cross-section for 14.6 MeV incident neutron energy by using the artificial neural network (ANN) method. We have also predicted the reaction cross-sections whose experimental ...
Comprehensive growth and characterization study of GeOx/Si
(ELSEVIER, 2023)
In this study, the reactive radio frequency magnetron sputtering (RFMS) method under varying thickness was used to deposit GeO x on Si substrate at room temperature. The effect of thickness on the structural and optical ...
Effect of substrate temperature on Raman study and optical properties of GeOx/ Si thin films
(Springer, 2023)
In this study, GeOx thin films were deposited onto Si substrates using the RF magnetron sputtering method. We looked at how the temperature of the substrate affected the Raman spectra and optical characteristics of GeOx ...
High harmonic generations triggered by the intense laser field in GaAs/ AlxGa1-xAs honeycomb quantum well wires
(Elsevier, 2023)
Under constant electric and magnetic fields, the potential profile of the honeycomb quantum well wire (HQWW) is studied for varying intense laser fields to trigger and optimize high harmonics (nonlinear optical rectification, ...