title: Franck-Condon factors using supervised artificial neural networks. I. The CF+ cation.
abstract: Several studies of the electronic and vibrational structure of CF(+) have been performed since this molecule was first discovered to occur in the interstellar medium, and even before that. However, researchers have paid little attention to calculating its Franck-Condon factors (FCFs), which can aid the identification of this molecule through comparison with the observed intensity spectrum. In this work, an analysis of all of the potential energy curves of CF(+) that were candidates for this kind of calculation was undertaken. The Franck-Condon factors of CF(+) were calculated using a supervised neural network with two layers and a variable learning rate.
authors.affiliation: Facultad de Ciencias de la Computación, BUAP, Puebla, Pue., 72570, México, malosa1753@gmail.com.
authors.forename: Lourdes
authors.initials: L
authors.lastname: Sandoval
authors.forename: José M
authors.initials: JM
authors.lastname: Amero
authors.forename: Gabriel J
authors.initials: GJ
authors.lastname: Vazquez
authors.forename: Alejandro
authors.initials: A
authors.lastname: Palma
mesh_terms: D002412:Cations; D003198:Computer Simulation; D004583:Electrons; D004735:Energy Transfer; D006845:Hydrocarbons, Fluorinated / Q000737:chemistry*; D016014:Linear Models; D008956:Models, Chemical; D008958:Models, Molecular; D015394:Molecular Structure; D016571:Neural Networks, Computer; D009716:Numerical Analysis, Computer-Assisted; D009861:Onium Compounds / Q000737:chemistry*; D013057:Spectrum Analysis; D014732:Vibration
chemical_list: D002412:Cations; D006845:Hydrocarbons, Fluorinated; D009861:Onium Compounds; C029999:fluoromethane