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Removal of lead (II) from aqueous solution using epichlorohydrin cross-linked shrimp waste-derived chitosan based @ calcium phosphates biocomposite: Experimental study and computational approach
(2023)
An economical composite has been synthesized utilizing chitosan derived from discarded shrimp shells and hydroxyapatite extracted from waste bovine bones. This research delves into the composite's adsorption properties for ...
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, ...
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 ...
Adsorption properties of amine modified lignin-hydrogel composite for uranyl ions: Theoretical and experimental insights
(2023)
A new modified material was synthesized and characterized as ethylene diamine modified (EA) Polyacrylamide (PAA)-Lignin (L). The adsorption features of EA modified PAA-L were studied for uranyl ions. The characterization ...
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 ...
Terminal value problem for neutral fractional functional differential equations with Hilfer-Katugampola fractional derivative
(Published by Faculty of Sciences and Mathematics, 2023)
In this paper, we establish the existence of solutions for a class of nonlinear neutral fractional differential
equations with terminal condition and Hilfer-Katugampola fractional derivative. The arguments
are based upon ...
Inverse nodal problem for Dirac operator with integral type nonlocal boundary conditions
(2023)
In this paper, Dirac operator with some integral type nonlocal boundary conditions
is studied. We show that the coefficients of the problem can be uniquely
determined by a dense set of nodal points. Moreover, we give an ...
Inverse nodal problem for the quadratic pencil of the Sturm-Liouville equations with parameter-dependent nonlocal boundary condition
(Tubitak, 2023)
In this paper, we consider the inverse nodal problem for a quadratic pencil of the Sturm$-$Liouville equations with parameter-dependent Bitsadze$-$Samarskii type nonlocal boundary condition and we give an algorithm for the ...
A partial inverse problem for non-self-adjoint Sturm–Liouville operators with a constant delay
(De Gruyter, 2023)
In this paper, we study a partial inverse spectral problem for non-self-adjoint Sturm–Liouville operators with a constant delay and show that subspectra of two boundary value problems with one common boundary condition are ...