Search
Now showing items 11-20 of 66
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 ...
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 ...
Magnetic chitosan oligomer-sulfonate-stearic acid triple combination as cisplatin carrier for site-specific targeted on MCF-7 cancer cells: Preparation, characterization and in vitro experiments
(Chemical Biology and Drug Design, 2023)
In this study, a new amphiphilic target-specific adsorbent, chitosan oligomer-sulfonate-stearic acid triple combination (S-Cho-SA), and magnetic chitosan oligomer-sulfonate-stearic acid triple combination (M-S-Cho-SA) by ...
Preparation and characterization of lysozyme loaded cryogel for heavy metal removal
(International Journal of Biological Macromolecules, 2023)
In the present study, monolithic poly(N-isopropylacrylamide-acrylamide)-acrilic acid (poly(npam-aam)-aac) cryogels were made. Swelling tests, SEM, XRD, and ATR-FTIR analyses revealed distinct cryogel and lysozyme-loaded ...
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. ...