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Now showing items 81-90 of 93
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 ...
Experimental and theoretical insights on the structural and optical properties of GeOx thin films deposited via RF magnetron sputtering under varying oxygen percentage
(ELSEVIER, 2023)
In this study, GeOx films were produced by radio frequency magnetron sputtering (RFMS) under varying oxygen percentages. The structural and optical properties of films grown have been studied experimentally and theoretical ...
Modeling of temperature‑dependent photoluminescence of GaN epilayer by artificial neural network
(Springer, 2023)
Artificial neural networks (ANNs) are a type of machine learning model that are designed to mimic the structure and function of biological neurons. They are particularly well-suited for tasks such as image and speech ...
The second, third harmonic generations and nonlinear optical rectification of the Mathieu quantum dot with the external electric, magnetic and laser field
(16.06.2023)
In this study, the nonlinear optical properties of the In𝑥��Ga1−𝑥��As/GaAs Mathieu quantum dot (MQD) are
investigated for the first time, focusing on the nonlinear optical rectification (NOR), second harmonic
generation ...