Results 21 to 30 of about 4,292 (208)

A Criticality and depletion analysis of the European Lead-Cooled Training Reactor (ELECTRA)

Brazilian Journal of Radiation Sciences, 2022
In this article, a criticality and depletion analysis of the European Lead-Cooled Training Reactor (ELECTRA), a low-power, compact, fast lead-cooled reactor, was performed. The active core model and simulations were made by using the MCNPX code.
Ana Luiza Pereira Oliveira, Clarysson Alberto Mello da Silva   +1 more
doaj   +1 more source

Background Calculations for the High Energy Beam Transport Region of the European Spallation Source [PDF]

, 2014
Expected backgrounds in the final accelerator-to-target region of the European Spallation Source, to be built in Lund, Sweden, have been calculated using the MCNPX program.
Barlow, Roger, Toader, Adina
core   +3 more sources

Measurement technique for characterization and recording of spent 57Co and 68Ge/68Ga sealed radioactive sources [PDF]

Nuclear Technology and Radiation Protection, 2023
The present work concerns the development of a technique for activity determination of 68Ge/68Ga and 57Co disused radioactive sources. This technique aims to determine the activity of these sources by measuring and Monte Carlo simulation using ...
Mavrikis Dimitris, Siarafera Tatiana, Ntalla Eleni, Markopoulos Angelos, Ioannidou Alexandra, Savidou Anastasia   +5 more
doaj   +1 more source

Evolution of dose distribution for a ¹²⁵I eye plaque using MCNPX and Plaque Simulator software. [PDF]

Precis Radiat Oncol
Abstract Objective Eye plaque radiation therapy is the treatment of choice for small‐ and medium‐sized choroidal melanomas. This study investigated the dose distribution around eye plaques containing 125I seeds to treat ocular melanoma using Monte Carlo N‐Particle eXtended (MCNPX) and Plaque Simulator (PS) software.
Poorbaygi H, Sardari E, Aghamiri SMR, Sheibani S, Arjmand M, Moradi S, Ghassemi F.   +6 more
europepmc   +2 more sources

Enhance simulation capability of beta-voltaic micro battery using MCNPX-SILVACO hybrid code [PDF]

مجله علوم و فنون هسته‌ای, 2020
The accuracy of each simulating beta-voltaic battery parameter is very important, especially in micro-batteries. The aim of this study is to improve the calculation of beta-battery parameters’ accuracy. For this purpose, at first, using the Monte Carlo N-
P. Maleki, Gh.R. Etaati
doaj   +1 more source

An MCNPX accelerator beam source

Progress in Nuclear Energy, 2009
Abstract We have developed a new source feature for MCNPX that enables the transport of particles in a field-free drift region for a beam produced by an accelerator. The beam representation is based on the formulation used in the TRANSPORT charged-particle-beam code.
Joe Durkee, Jay Elson, Andrew Jason, Russell Johns, Laurie Waters   +4 more
openaire   +3 more sources

Modeling the NHEJ repair of DNA damage induced by electrons calculated using the MCNPX and Geant4-DNA codes [PDF]

مجله علوم و فنون هسته‌ای, 2022
In radiotherapy, ionizing radiation is used to damage cells. Monte Carlo simulations of radiation interactions with DNA give us good information about the type of damage and their repair process, which can be very useful in treating cancer and protecting
Sh. Farazmand, M. Mokari, M.H. Alamatsaz
doaj   +1 more source

Calculation of photoneutron contamination of varian linac in icru soft-tissue phantom using MCNPX code

Journal of Medical Physics, 2021
Purpose: The aim of this research was to calculate the fluence, dose equivalent (DE), and kerma of thermal, epithermal and fast photoneutrons separately, within ICRU soft-tissue-equivalent phantom in the radiotherapy treatment room, using MCNPX Monte ...
Mojtaba Cheraghian, Tayyeb Pourfallah, Amir Abbas Sabouri-Dodaran, Mehrdad Gholami   +3 more
doaj   +1 more source

Utilizing patient data: A tutorial on predicting second cancer with machine learning models. [PDF]

Cancer Med
Abstract Background The article explores the potential risk of secondary cancer (SC) due to radiation therapy (RT) and highlights the necessity for new modeling techniques to mitigate this risk. Methods By employing machine learning (ML) models, specifically decision trees, in the research process, a practical framework is established for forecasting ...
Sadeghi H, Seif F, Farahani EH, Khanmohammadi S, Nahidinezhad S.   +4 more
europepmc   +2 more sources

Diagnostic and therapeutic radioisotopes in nuclear medicine: Determination of gamma-ray transmission factors and safety competencies of high-dense and transparent glassy shields

Open Chemistry, 2022
We present the findings of an extensive examination on newly designed CdO-rich and transparent glass shields for nuclear medicine facilities in lieu of traditional and unfavorable materials, such as lead and concrete.
Erdemir Rabiye Uslu, Kilic Gokhan, Sen Baykal Duygu, ALMisned Ghada, Issa Shams A. M., Zakaly Hesham M. H., Ene Antoaneta, Tekin Huseyin Ozan   +7 more
doaj   +1 more source