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Now showing items 11-20 of 24
Theoretical investigation of nonlinear optical properties of Mathieu quantum well
(Springer Berlin Heidelberg, 2023/1/20)
In this study, for the first time, the effect of externally applied static electric, magnetic, and non-resonant THz intense laser fields on nonlinear optical properties such as the total optical absorption coefficients ...
The nonlinear optical properties of "12-6" tuned GaAs/GaAlAs double quantum well under the external fields
(2023)
We have studied the linear and nonlinear optical properties of 12-6GaAs/Ga1-xAlxAs double quantum well heterostructure
under different external fields’ effects such as electric, magnetic and intense laser fields. We also ...
Performance of machine learning algorithms on neutron activations for Germanium isotopes
(2023/7/1)
In the studies of nuclear physics, one of the important parameters for nuclear reactions is the reaction cross-section. It can be obtained from experimental data or by different theoretical models. In this study, we implement ...
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 ...
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, ...
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 ...
Investigating the optical, electronic, magnetic properties and DFT of NiO films prepared using RF sputtering with various argon pressures
(ELSEVIER, 2023)
In this study, we investigated the structural, optical, magnetic, and conductive properties of nickel oxide (NiO) films on glass substrates deposited using Radio Frequency (RF) magnetron sputtering with varying Ar gas ...