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1

A Prediction Study on Bremsstrahlung Photon Flux of Tungsten as a Radiological Anode Material by using MCNPX and ANN Modeling

100%

Tekin H., Kara U., Manici T., Altunsoy E., Erguzel T.

Acta Physica Polonica A

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2017

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vol. 132

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issue 3

433-435

EN

Medical imaging is a technique that is mostly known as visual representations of the parts of body for clinical scans and analysis. In imaging process for medical purpose there take part radiologists, radiographers/radiology technicians, medical physicists, sonographers, nurses, and engineers. As an apart issue from the medical imaging devices, we can treat X-rays using devices such as radiography, computed tomography, fluoroscopy, dental cone-beam computed tomography, and mammography. All these devices are to perform X-ray using during medical imaging process. An X-ray beam is generated in a vacuum tube that is principally composed of an anode and a cathode material to produce X-ray beams, whose name is X-ray tube. The anode represents the component in which the X-ray beam produced that made from a piece of metal. For decades, tungsten (W) has been used as an anode material of various X-ray tubes. Tungsten has high atomic number and high melting point of 3370°C with low rate of volatilization. In this study, we performed Monte Carlo simulation for flux calculations of W target by using MCNP-X general purpose code and considered result as a data set for artificial neural network. It can be concluded that the results agreed well between Monte Carlo simulation and artificial neural network prediction.

2

Quantitative Characteristic X-Ray Analysis for Different Compound Samples by Using Monte Carlo Method

100%

Tekın H., Altunsoy E., Manici T., Yilmaz B.

Acta Physica Polonica A

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2017

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vol. 132

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issue 3

439-441

EN

X-ray spectrometry is an elemental analysis technique with broad application in science and industry. It is based on the principle that individual atoms, when excited by an external energy source emit X-ray photons of a characteristic energy or wavelength. Here we obtained the characteristic X-ray peaks of different brass compounds and compared the intensity of characteristic peaks by changing with Zn rate. In this study we modelled different brass samples by using Monte Carlo method and changed the zinc rate in brass samples for each compound. We obtained the characteristic X-ray peaks of different compounds and compared the intensity of characteristic peaks by changing with Zn rate. We achieved a good agreement between peak intensity and corresponding element rate in compound. Also we obtained that characteristic peak rate increases by corresponding element rate in compound. This study shows that Monte Carlo method is very effective method to simulate material features due to their characteristic peaks and their intensities.

3

A study of nucleic acid base-stacking by the Monte Carlo method: Extended cluster approach

100%

Danilov V., Dailidonis V., Mourik T., Früchtl H.

Open Chemistry

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2011

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vol. 9

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issue 4

720-727

EN

The adenine-thymine (AT), adenine-uracil (AU) and guanine-cytosine (GC) base associates in clusters containing 400 water molecules were studied using a newly implemented Metropolis Monte Carlo algorithm based on the extended cluster approach. Starting from the hydrogen-bonded Watson-Crick geometries, all three base pairs are transformed into more favorable stacked configurations during the simulation. The obtained results show, for the first time, the transition from planar base pairs to stacked base associates in the Monte Carlo framework. Analysis of the interaction energies shows that, in the water cluster, the stacked dimers are energetically preferable compared to the corresponding Watson-Crick base pairs. This is due to the larger base-water interaction in the stacked structures. The water-water interaction is one of the main factors promoting the formation of stacked dimers, and the obtained data confirm the crucial role of the water-water interactions in base stacking.

4

Impact point prediction guidance parametric study for 155 mm rocket assisted artillery projectile with lateral thrusters

89%

Szklarski A., Głębocki R., Jacewicz M., Szklarski A., Głębocki R., Jacewicz M.

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vol. 67

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issue 1

5

A Monte Carlo study on dose enhancement and photon contamination production by various nanoparticles in electron mode of a medical linac

88%

Toossi M. T. B., Ghorbani M., Sabet L. S., Akbari F., Mehrpouyan M.

Nukleonika

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2015

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vol. 60

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issue 3

489-496

EN

The aim of this study is the evaluation of electron dose enhancement and photon contamination production by various nanoparticles in the electron mode of a medical linac. MCNPX Monte Carlo code was used for simulation of Siemens Primus linac as well as a phantom and a tumor loaded with nanoparticles. Electron dose enhancement by Au, Ag, I and Fe2O3 nanoparticles of 7, 18 and 30 mg/ml concentrations for 8, 12 and 14 MeV electrons was calculated. The increase in photon contamination due to the presence of the nanoparticles was evaluated as well. The above effects were evaluated for 500 keV and 10 keV energy cut-offs defined for electrons and photons. For 500 keV energy cut-off, there was no significant electron dose enhancement. However, for 10 keV energy cut-off, a maximum electron dose enhancement factor of 1.08 was observed for 30 mg/ml of gold nanoparticles with 8 MeV electrons. An increase in photon contamination due to nanoparticles was also observed which existed mainly inside the tumor. A maximum photon dose increase factor of 1.07 was observed inside the tumor with Au nanoparticles. Nanoparticles can be used for the enhancement of electron dose in the electron mode of a linac. Lower energy electron beams, and nanoparticles with higher atomic number, can be of greater benefit in this field. Photons originating from nanoparticles will increase the photon dose inside the tumor, and will be an additional advantage of the use of nanoparticles in radiotherapy with electron beams.

6

Radiation heat transfer model using Monte Carlo ray tracing method on hierarchical ortho-Cartesian meshes and non-uniform rational basis spline surfaces for description of boundaries

88%

Kuczyński P., Białecki R.

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7

Assesing multileaf collimator effect on the build-up region using Monte Carlo method

88%

Moreno M., Teixeira N., Jesus A., Mora G.

Polish Journal of Medical Physics And Engineering

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2008

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vol. 14

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issue 3

163-182

EN

Previous Monte Carlo studies have investigated the multileaf collimator (MLC) contribution to the build-up region for fields in which the MLC leaves were fully blocking the openings defined by the collimation jaws. In the present work, we investigate the same effect but for symmetric and asymmetric MLC defined field sizes (2×2, 4×4, 10×10 and 3×7 cm2). A Varian 2100C/D accelerator with 120-leaf MLC is accurately modeled for a 6MV photon beam using the BEAMnrc/EGSnrc code.Our results indicate that particles scattered from accelerator head and MLC are responsible for the increase of about 7% on the surface dose when comparing 2×2 and 10×10 cm2 fields. We found that the MLC contribution to the total build-up dose is about 2% for the 2×2 cm2 field and less than 1% for the largest fields.

8

Holographic grating inscription in DR1: DNA-CTMA thin films: the puzzle of time scales

88%

Pawlik G., Radosz W., Mitus A., Mysliwiec J., Miniewicz A., Kajzar F., Rau I.

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issue 8

886-892

EN

We study experimentally the dynamics of holographic inscription of gratings in DR1:DNA-CTMA thin films using a degenerate two-wave mixing (DTWM) setup in its initial phase (30 ms) and in a longer time interval (30 s). The temporal pattern of evolution of diffraction efficiency is complex, simple fitting procedures fail to reproduce the data. We point out that the complex dynamics can originate a large span of temporal scales, closely related to the microscale inhomogeneity of local free volume. Some of its hallmarks are found through Monte Carlo simulations.

9

Research on electric vehicle charging load prediction and charging mode optimization

88%

Zhang Z., Shi H., Zhu R., Zhao H., Zhu Y., Zhang Z., Shi H., Zhu R., Zhao H., Zhu Y.

Archives of Electrical Engineering

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2021

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vol. 70

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issue 2

10

Simulations of the AP1000-based reactor core with SERPENT computer code

71%

Darnowski P., Ignaczak P., Obrębski P., Stępień M., Niewiński G., Darnowski P., Ignaczak P., Obrębski P., Stępień M., Niewiński G.

Archive of Mechanical Engineering

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2018

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vol. 65

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issue 3

11

Monte Carlo Analysis of the Battery-Type High Temperature Gas Cooled Reactor

63%

Grodzki M., Darnowski P., Niewiński G.

Archives of Thermodynamics

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2017

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issue 4

Refine search results

A Prediction Study on Bremsstrahlung Photon Flux of Tungsten as a Radiological Anode Material by using MCNPX and ANN Modeling

Quantitative Characteristic X-Ray Analysis for Different Compound Samples by Using Monte Carlo Method

A study of nucleic acid base-stacking by the Monte Carlo method: Extended cluster approach

Impact point prediction guidance parametric study for 155 mm rocket assisted artillery projectile with lateral thrusters

A Monte Carlo study on dose enhancement and photon contamination production by various nanoparticles in electron mode of a medical linac

Radiation heat transfer model using Monte Carlo ray tracing method on hierarchical ortho-Cartesian meshes and non-uniform rational basis spline surfaces for description of boundaries

Assesing multileaf collimator effect on the build-up region using Monte Carlo method

Holographic grating inscription in DR1: DNA-CTMA thin films: the puzzle of time scales

Research on electric vehicle charging load prediction and charging mode optimization

Simulations of the AP1000-based reactor core with SERPENT computer code

Monte Carlo Analysis of the Battery-Type High Temperature Gas Cooled Reactor