Knowledge-based probabilistic representations of branching ratios in chemical networks: The case of dissociative recombinations

Journal of Chemical Physics

Volumn 133, Issue 13, 2010, Pages

  Plessis, Sylvain ^a   Carrasco, Nathalie ^b   Pernot, Pascal ^a,c  

^a UNIVERSITÉ PARIS SUD   (France)

^b LABORATOIRE DES SCIENCES DU CLIMAT ET DE L ENVIRONNEMENT   (France)

^c CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BRANCHING RATIO; CHEMICAL MODEL; CHEMICAL NETWORKS; CHEMICAL PLASMAS; DIRICHLET; DISSOCIATIVE RECOMBINATIONS; EXPERIMENTAL DATA; HYDROGEN ATOMS; INFORMATION SOURCES; IONOSPHERIC CHEMISTRY MODEL; LOSS MECHANISMS; MEASUREMENT TECHNIQUES; POLYATOMIC ION; PROBABILISTIC APPROACHES; PROBABILISTIC REPRESENTATION; PRODUCTION RATES;

FUNCTIONAL GROUPS; HIGH ENERGY PHYSICS; HYDROCARBONS; IMPACT IONIZATION; IONS; KNOWLEDGE BASED SYSTEMS; PROBABILITY DISTRIBUTIONS;

DISSOCIATION;

EID: 79955690847     PISSN: 00219606     EISSN: None     Source Type: Journal    
DOI: 10.1063/1.3479907     Document Type: Article

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