Results 1 to 10 of about 629,209 (213)
Monte Carlo simulations in radiotherapy dosimetry
Radiation Oncology, 2018 Background The use of the Monte Carlo (MC) method in radiotherapy dosimetry has increased almost exponentially in the last decades. Its widespread use in the field has converted this computer simulation technique in a common tool for reference and ...
Pedro Andreo
doaj +2 more sources
OPTIMISATION OF MONTE CARLO BURNUP SIMULATIONS [PDF]
EPJ Web of Conferences, 2021 We show here that computing efficiency of Monte Carlo burnup simulations depends on chosen values of certain free parameters, such as the length of the time steps and the number of neutron histories simulated at each Monte Carlo criticality run.
Dufek Jan, Mickus Ignas
doaj +1 more source
Monte Carlo simulations for the ANTARES underwater neutrino telescope [PDF]
Journal of Cosmology and Astroparticle Physics, 2020 Monte Carlo simulations are a unique tool to check the response of a detector and to monitor its performance. For a deep-sea neutrino telescope, the variability of the environmental conditions that can affect the behaviour of the data acquisition system ...
T. Albert +134 more
semanticscholar +1 more source
Advanced Monte Carlo simulations of emission tomography imaging systems with GATE
Physics in Medicine and Biology, 2021 Built on top of the Geant4 toolkit, GATE is collaboratively developed for more than 15 years to design Monte Carlo simulations of nuclear-based imaging systems. It is, in particular, used by researchers and industrials to design, optimize, understand and
David Sarrut +33 more
semanticscholar +1 more source
Validation of a Monte Carlo Modelling Based Dosimetry of Extraoral Photobiomodulation
Diagnostics, 2021 An in vivo validation study was performed to confirm the accuracy of extraoral photobiomodulation therapy (PBMT) dosimetry determined by modelling. The Monte Carlo technique was utilized to calculate the fluence rate and absorbed power of light delivered
Anna N. Yaroslavsky +9 more
doaj +1 more source
A Practical Guide to Surface Kinetic Monte Carlo Simulations [PDF]
Frontiers in Chemistry, 2019 This review article is intended as a practical guide for newcomers to the field of kinetic Monte Carlo (KMC) simulations, and specifically to lattice KMC simulations as prevalently used for surface and interface applications.
M. Andersen, C. Panosetti, K. Reuter
semanticscholar +1 more source
Monte Carlo Tree Search: a review of recent modifications and applications [PDF]
Artificial Intelligence Review, 2021 Monte Carlo Tree Search (MCTS) is a powerful approach to designing game-playing bots or solving sequential decision problems. The method relies on intelligent tree search that balances exploration and exploitation.
M. Świechowski +3 more
semanticscholar +1 more source
Parallel Monte Carlo simulations [PDF]
Physical Review E, 1995 The Monte Carlo (MC) method is an important tool in sampling the state space of a chosen statistical ensemble. It allows the study of thermodynamic averages of configurational properties by generating ``moves'' in a system and accepting or rejecting the thus generated new state depending on the energy of the new system and/or a random choice.
Esselink, K., Loyens, L.D.J.C., Smit, B.
openaire +3 more sources
Adjustment for Multimorbidity in Estimations of the Burden of Diseases Using Korean NHIS Data [PDF]
Journal of Preventive Medicine and Public Health, 2022 The current multimorbidity correction method in the Global Burden of Disease studies assumes the independent occurrence of diseases. Those studies use Monte-Carlo simulations to adjust for the presence of multiple disease conditions for all diseases. The
Yoonhee Shin +5 more
doaj +1 more source