Literature DB >> 15525059

Efficient simulations of gas-grain chemistry in interstellar clouds.

Azi Lipshtat1, Ofer Biham.   

Abstract

Chemical reactions on dust grains are of crucial importance in interstellar chemistry because they produce molecular hydrogen and various organic molecules. Because of the submicron size of the grains and the low flux, the surface populations of reactive species are small and strongly fluctuate. Under these conditions rate equations fail and the master equation is needed for modeling these reactions. However, the number of equations grows exponentially with the number of reactive species, severely limiting its feasibility. Here we present a method which dramatically reduces the number of equations, thus enabling the incorporation of the master equation in models of interstellar chemistry.

Entities:  

Year:  2004        PMID: 15525059     DOI: 10.1103/PhysRevLett.93.170601

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  3 in total

1.  Monte Carlo studies of surface chemistry and nonthermal desorption involving interstellar grains.

Authors:  Eric Herbst; Herma M Cuppen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-07       Impact factor: 11.205

2.  A moment-convergence method for stochastic analysis of biochemical reaction networks.

Authors:  Jiajun Zhang; Qing Nie; Tianshou Zhou
Journal:  J Chem Phys       Date:  2016-05-21       Impact factor: 3.488

3.  The kinetic Monte Carlo method as a way to solve the master equation for interstellar grain chemistry.

Authors:  H M Cuppen; L J Karssemeijer; T Lamberts
Journal:  Chem Rev       Date:  2013-11-04       Impact factor: 60.622

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.