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Seyed Farhad Masoudi

Researcher at K.N.Toosi University of Technology

Publications -  31
Citations -  150

Seyed Farhad Masoudi is an academic researcher from K.N.Toosi University of Technology. The author has contributed to research in topics: Neutron reflectometry & Thin film. The author has an hindex of 7, co-authored 25 publications receiving 126 citations.

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Calculation of DNA strand breaks due to direct and indirect effects of Auger electrons from incorporated 123I and 125I radionuclides using the Geant4 computer code.

TL;DR: The results showed that the simpler geometry is suitable for direct break calculations, while for the indirect damage yield, the more precise model is preferred.
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Simulation of the BNCT of Brain Tumors Using MCNP Code: Beam Designing and Dose Evaluation

TL;DR: It was showed that increasing J/Φ, as a measure of beam directionality, leads to improvement of beam performance and survival of healthy tissues surrounding the tumor, and the proposed system based on D-T neutron source, which is suitable for in-hospital installations, satisfies all in-air parameters.
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Neutronic analysis of control rod effect on safety parameters in Tehran Research Reactor

TL;DR: In this paper, the authors used the MTR_PC package to evaluate the effect of the partially insertion of the control rod on the neutronic parameters at the operating core of the Tehran Research Reactor, and the simulation results showed that by increasing the insertion of control rods (bank) in the core, the absolute values of power peaking factor, reactivity coefficients and effective delayed neutron fraction increased and only prompt neutron life time decreased.
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The dynamics of ions entering the magnetized plasma sheath obliquely – collisional and collisionless situations

TL;DR: In this article, the ion dynamics in a collisional and collisionless magnetized plasma sheath have been numerically calculated by using a fluid model, and the results show that the behavior of ions that obliquely enter the sheath with some specific velocities at the edge and at some specific orientations and strengths of magnetic field, is more complicated than that of ions with normal entrance angles.
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Thin film growth by using random shape cluster deposition

TL;DR: In this article, the growth of a rough and porous thin surface by deposition of randomly shaped clusters with different sizes over an initially flat linear substrate is simulated, using Monte Carlo technique, which results in aggregation of clusters which produces a porous bulk with correlation along the surface and the surface saturation occurs in long enough deposition times.