FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2040698890> ?p ?o ?g. }

• W2040698890 abstract "Abstract Describing nanocluster growth and obtaining size distributions of clusters near kinetically determined metastable states is a computationally difficult problem because of the slow convergence of size distributions near the metastable state. In this work, we examine the size selected growth of nanoclusters in such situations by using a mesoscopic reaction kinetic model (RKM), and introduce two effective computational schemes for describing the size selection and obtaining size distributions. The first method is based on the particle coalescence method (PCM), where the configuration space of clusters is sampled by using the rejection-free Bortz–Kalos–Lebowitz algorithm. The second method is based on direct numerical integration of the RKM by using the transformation referred to as the master equation discretization (MED) scheme. We compare the computational reliability of the PCM and RKM discretization methods in a typical case of 2D-nanocluster growth with size dependent energetics and show that both of these approaches allows us to study in detail the evolution of the size distribution in all stages of the growth." @default.
• W2040698890 created "2016-06-24" @default.
• W2040698890 creator A5047571391 @default.
• W2040698890 creator A5054890796 @default.
• W2040698890 creator A5082766872 @default.
• W2040698890 date "2008-08-01" @default.
• W2040698890 modified "2023-09-23" @default.
• W2040698890 title "Two computational methods for describing size selected nanocluster growth and obtaining accurate cluster size distributions" @default.
• W2040698890 cites W1559036856 @default.
• W2040698890 cites W1965505486 @default.
• W2040698890 cites W1966037759 @default.
• W2040698890 cites W1967654700 @default.
• W2040698890 cites W1969349641 @default.
• W2040698890 cites W1972643758 @default.
• W2040698890 cites W1975320644 @default.
• W2040698890 cites W1976706608 @default.
• W2040698890 cites W1980973713 @default.
• W2040698890 cites W1987603506 @default.
• W2040698890 cites W1990750804 @default.
• W2040698890 cites W1991124074 @default.
• W2040698890 cites W1992787938 @default.
• W2040698890 cites W1995046681 @default.
• W2040698890 cites W2003326161 @default.
• W2040698890 cites W2007386207 @default.
• W2040698890 cites W2020538374 @default.
• W2040698890 cites W2024911483 @default.
• W2040698890 cites W2025183382 @default.
• W2040698890 cites W2026607056 @default.
• W2040698890 cites W2036488422 @default.
• W2040698890 cites W2047454175 @default.
• W2040698890 cites W2051893224 @default.
• W2040698890 cites W2054088302 @default.
• W2040698890 cites W2065896623 @default.
• W2040698890 cites W2066034953 @default.
• W2040698890 cites W2072806145 @default.
• W2040698890 cites W2073643589 @default.
• W2040698890 cites W2073792766 @default.
• W2040698890 cites W2074633705 @default.
• W2040698890 cites W2076219320 @default.
• W2040698890 cites W2077614399 @default.
• W2040698890 cites W2088156633 @default.
• W2040698890 cites W2090902457 @default.
• W2040698890 cites W2091431828 @default.
• W2040698890 cites W2091864926 @default.
• W2040698890 cites W2094398871 @default.
• W2040698890 cites W2095921114 @default.
• W2040698890 cites W2139181338 @default.
• W2040698890 cites W2169385505 @default.
• W2040698890 cites W3101037684 @default.
• W2040698890 doi "https://doi.org/10.1016/j.commatsci.2007.11.007" @default.
• W2040698890 hasPublicationYear "2008" @default.
• W2040698890 type Work @default.
• W2040698890 sameAs 2040698890 @default.
• W2040698890 citedByCount "6" @default.
• W2040698890 countsByYear W20406988902012 @default.
• W2040698890 countsByYear W20406988902015 @default.
• W2040698890 countsByYear W20406988902017 @default.
• W2040698890 crossrefType "journal-article" @default.
• W2040698890 hasAuthorship W2040698890A5047571391 @default.
• W2040698890 hasAuthorship W2040698890A5054890796 @default.
• W2040698890 hasAuthorship W2040698890A5082766872 @default.
• W2040698890 hasConcept C121332964 @default.
• W2040698890 hasConcept C121864883 @default.
• W2040698890 hasConcept C134306372 @default.
• W2040698890 hasConcept C147789679 @default.
• W2040698890 hasConcept C149792144 @default.
• W2040698890 hasConcept C162324750 @default.
• W2040698890 hasConcept C164866538 @default.
• W2040698890 hasConcept C171250308 @default.
• W2040698890 hasConcept C177731217 @default.
• W2040698890 hasConcept C185592680 @default.
• W2040698890 hasConcept C187530423 @default.
• W2040698890 hasConcept C192562407 @default.
• W2040698890 hasConcept C199360897 @default.
• W2040698890 hasConcept C2777303404 @default.
• W2040698890 hasConcept C2778402822 @default.
• W2040698890 hasConcept C3017540586 @default.
• W2040698890 hasConcept C33923547 @default.
• W2040698890 hasConcept C41008148 @default.
• W2040698890 hasConcept C50522688 @default.
• W2040698890 hasConcept C59593255 @default.
• W2040698890 hasConcept C62520636 @default.
• W2040698890 hasConcept C73000952 @default.
• W2040698890 hasConcept C87355193 @default.
• W2040698890 hasConcept C89464430 @default.
• W2040698890 hasConceptScore W2040698890C121332964 @default.
• W2040698890 hasConceptScore W2040698890C121864883 @default.
• W2040698890 hasConceptScore W2040698890C134306372 @default.
• W2040698890 hasConceptScore W2040698890C147789679 @default.
• W2040698890 hasConceptScore W2040698890C149792144 @default.
• W2040698890 hasConceptScore W2040698890C162324750 @default.
• W2040698890 hasConceptScore W2040698890C164866538 @default.
• W2040698890 hasConceptScore W2040698890C171250308 @default.
• W2040698890 hasConceptScore W2040698890C177731217 @default.
• W2040698890 hasConceptScore W2040698890C185592680 @default.
• W2040698890 hasConceptScore W2040698890C187530423 @default.
• W2040698890 hasConceptScore W2040698890C192562407 @default.
• W2040698890 hasConceptScore W2040698890C199360897 @default.
• W2040698890 hasConceptScore W2040698890C2777303404 @default.
• W2040698890 hasConceptScore W2040698890C2778402822 @default.

• next