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J. Ziaei

Researcher at Urmia University of Technology

Publications -  16
Citations -  59

J. Ziaei is an academic researcher from Urmia University of Technology. The author has contributed to research in topics: Quantum chaos & Magnetic field. The author has an hindex of 4, co-authored 15 publications receiving 53 citations. Previous affiliations of J. Ziaei include Islamic Azad University.

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Controlling charge current through a DNA based molecular transistor

TL;DR: In this paper, the authors considered a DNA-based molecular transistor and studied its transport properties and observed the nearly periodic behavior in the current flowing through DNA and reported that there is a critical gate voltage for each applied bias which above it, the electrical current is always positive.
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Engineering DNA Molecule Bridge between Metal Electrodes for High-Performance Molecular Transistor: An Environmental Dependent Approach.

TL;DR: The results have shown that in the presence of the bath, the bath parameters are important, and it is possible that via the adjustment of bath parameters, one can design a conductivity channel for all nucleotide contents and one can engineer a DNA based transistor simply through the setting of only one parameter.
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An electric field induced delocalization transition in second-harmonic generation effect

TL;DR: In this paper, a quantum analysis of the spectral statistics of the second-harmonic generation (SHG) resonances was performed with the aim of determining the instability of this process.
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A new approach to the study of heartbeat dynamics based on mathematical model

TL;DR: In this article, the effects of external factors on pacemaker rhythms were studied using a new measure, called the scale index, which can detect special behaviors in the action potential whereas the Lyapunov exponent is not capable of uncovering them.
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Quantum chaos analysis for characterizing a photonic resonator lattice

TL;DR: In this paper, the impact of phase and the location of interface on the localization of Hamiltonian eigenstates was explored by applying level spacing distribution as a cornerstone of random matrix theory.