Matches in SemOpenAlex for { <https://semopenalex.org/work/W2908711067> ?p ?o ?g. }
- W2908711067 endingPage "154" @default.
- W2908711067 startingPage "149" @default.
- W2908711067 abstract "The Geant4 toolkit offers a range of electromagnetic (EM) models for simulating the transport of charged particles down to sub-keV energies. They can be divided to condensed-history (CH) models (like the Livermore and Penelope models) and the track-structure (TS) models included in the Geant4-DNA low-energy extension of Geant4. Although TS models are considered the state-of-the-art for nanoscale electron transport, they are difficult to develop, computationally intensive, and commonly tailored to a single medium (e.g., water) which prohibits their use in a wide range of applications. Thus, the use of CH models down to sub-keV energies is particularly intriguing in the context of general-purpose Monte Carlo codes. The aim of the present work is to compare the performance of the CH models of Geant4 against the recently implemented TS models of Geant4-DNA for nanoscale electron transport. Calculations are presented for two fundamental quantities, the dose-point-kernel and the microdosimetric lineal energy. The influence of user-defined simulation parameters (tracking and production cuts, and maximum step size) on the above calculations is also examined. It is shown that Livermore offers the best performance among the CH models of Geant4 for nanoscale electron transport. However, even under optimally-chosen simulation parameters, the differences between the CH and TS models examined may be sizeable for low energy electrons (<1 keV) and/or nanometer size targets (<100 nm)." @default.
- W2908711067 created "2019-01-25" @default.
- W2908711067 creator A5048068828 @default.
- W2908711067 creator A5054601273 @default.
- W2908711067 creator A5061805082 @default.
- W2908711067 creator A5063890835 @default.
- W2908711067 creator A5068840916 @default.
- W2908711067 creator A5070217555 @default.
- W2908711067 creator A5086490294 @default.
- W2908711067 date "2019-02-01" @default.
- W2908711067 modified "2023-10-17" @default.
- W2908711067 title "Influence of track structure and condensed history physics models of Geant4 to nanoscale electron transport in liquid water" @default.
- W2908711067 cites W1490538221 @default.
- W2908711067 cites W1504965252 @default.
- W2908711067 cites W1509442250 @default.
- W2908711067 cites W1587381510 @default.
- W2908711067 cites W1974011764 @default.
- W2908711067 cites W1974607288 @default.
- W2908711067 cites W1990869665 @default.
- W2908711067 cites W1991856413 @default.
- W2908711067 cites W1992900869 @default.
- W2908711067 cites W1992931208 @default.
- W2908711067 cites W2004456747 @default.
- W2908711067 cites W2016899512 @default.
- W2908711067 cites W2019863514 @default.
- W2908711067 cites W2021624571 @default.
- W2908711067 cites W2026812997 @default.
- W2908711067 cites W2027142300 @default.
- W2908711067 cites W2028200888 @default.
- W2908711067 cites W2036145359 @default.
- W2908711067 cites W2040917845 @default.
- W2908711067 cites W2041461589 @default.
- W2908711067 cites W2063910347 @default.
- W2908711067 cites W2074442330 @default.
- W2908711067 cites W2089639322 @default.
- W2908711067 cites W2091973234 @default.
- W2908711067 cites W2100260365 @default.
- W2908711067 cites W2121340522 @default.
- W2908711067 cites W2127107133 @default.
- W2908711067 cites W2128158076 @default.
- W2908711067 cites W2128881154 @default.
- W2908711067 cites W2142100988 @default.
- W2908711067 cites W2160648102 @default.
- W2908711067 cites W2162235653 @default.
- W2908711067 cites W2164624854 @default.
- W2908711067 cites W2189227215 @default.
- W2908711067 cites W2327080186 @default.
- W2908711067 cites W2402483609 @default.
- W2908711067 cites W2424832936 @default.
- W2908711067 cites W2464651496 @default.
- W2908711067 cites W2521134478 @default.
- W2908711067 cites W2533217032 @default.
- W2908711067 cites W2734933956 @default.
- W2908711067 cites W2808069317 @default.
- W2908711067 doi "https://doi.org/10.1016/j.ejmp.2019.01.001" @default.
- W2908711067 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30642767" @default.
- W2908711067 hasPublicationYear "2019" @default.
- W2908711067 type Work @default.
- W2908711067 sameAs 2908711067 @default.
- W2908711067 citedByCount "38" @default.
- W2908711067 countsByYear W29087110672019 @default.
- W2908711067 countsByYear W29087110672020 @default.
- W2908711067 countsByYear W29087110672021 @default.
- W2908711067 countsByYear W29087110672022 @default.
- W2908711067 countsByYear W29087110672023 @default.
- W2908711067 crossrefType "journal-article" @default.
- W2908711067 hasAuthorship W2908711067A5048068828 @default.
- W2908711067 hasAuthorship W2908711067A5054601273 @default.
- W2908711067 hasAuthorship W2908711067A5061805082 @default.
- W2908711067 hasAuthorship W2908711067A5063890835 @default.
- W2908711067 hasAuthorship W2908711067A5068840916 @default.
- W2908711067 hasAuthorship W2908711067A5070217555 @default.
- W2908711067 hasAuthorship W2908711067A5086490294 @default.
- W2908711067 hasBestOaLocation W29087110671 @default.
- W2908711067 hasConcept C105795698 @default.
- W2908711067 hasConcept C121332964 @default.
- W2908711067 hasConcept C121864883 @default.
- W2908711067 hasConcept C147120987 @default.
- W2908711067 hasConcept C151730666 @default.
- W2908711067 hasConcept C159985019 @default.
- W2908711067 hasConcept C185544564 @default.
- W2908711067 hasConcept C192562407 @default.
- W2908711067 hasConcept C19499675 @default.
- W2908711067 hasConcept C204323151 @default.
- W2908711067 hasConcept C2779343474 @default.
- W2908711067 hasConcept C30475298 @default.
- W2908711067 hasConcept C33923547 @default.
- W2908711067 hasConcept C45206210 @default.
- W2908711067 hasConcept C62520636 @default.
- W2908711067 hasConcept C86803240 @default.
- W2908711067 hasConceptScore W2908711067C105795698 @default.
- W2908711067 hasConceptScore W2908711067C121332964 @default.
- W2908711067 hasConceptScore W2908711067C121864883 @default.
- W2908711067 hasConceptScore W2908711067C147120987 @default.
- W2908711067 hasConceptScore W2908711067C151730666 @default.
- W2908711067 hasConceptScore W2908711067C159985019 @default.
- W2908711067 hasConceptScore W2908711067C185544564 @default.
- W2908711067 hasConceptScore W2908711067C192562407 @default.