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Influence of the Size and Dielectric Environments on the Optical Properties in CdS/ZnS Core-Shell Quantum Dot
(Publisher name SPRINGER, 2023)
In this work, the electronic and optical properties of CdS/ZnS core–shell quantum dots (CSQDs) capped in diferent matrices
were investigated theoretically. Through the efective mass approximation (EMA) and the density ...
Combined effects of thermodynamic factors and external fields for nonlinear optical processes of deformed Mathieu quantum dot containing central impurity
(Publisher name ELSEVIER, 2023)
The theoretical impact of external parameters such as the hydrostatic pressure, temperature, electric field,
magnetic field, as well as the Indium (In) concentration and quantum dot width on the nonlinear optical
properties ...
The second, third harmonic generations and nonlinear optical rectification of the Mathieu quantum dot with the external electric, magnetic and laser field
(Publisher name ELSEVIER, 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 ...
Antimicrobially effective protein-loaded metal chelated chitosan composite
(Journal of Polymer Engineering, 2023)
The immobilization of lysozyme onto a novel synthetic metal chelator composite based on chitosan/PAA-PMA (chitosan/acrylamide-maleic acid) and its effect on antimicrobial activity were the aim of the current study. The ...
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 ...
Chitosan-poly(acrylamide-co-maleic acid) composite synthesis, characterization, and investigation of protein adsorption behavior
(POLYMER BULLETIN, 2023)
A new environmentally friendly superabsorbent chitosan-poly(acrylamide-co-maleic acid) (chitosan/PAA-MA) was prepared by blending biocompatible chitosan and poly(acrylamide-co-maleic acid) in the polymerization medium. ...
Doxorubucin loaded pH-responsive chitosan-poly(acrylamide-maleic acid) composite hydrogel for anticancer targeting
(Journal of Molecular Structure, 2023)
© 2022 Elsevier B.V.A pH responsive superadsorbent composite hydrogel, chitosan-poly(acrylamide-maleic acid)(Ch-p(Ac-Ma)), were synthesized, characterized and loaded by Doxorubucin (Dox), anti-cancer drug. Chitosan solution ...