Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chang, Jia-Lin | en_US |
dc.contributor.author | Wang, Ya-Chiao | en_US |
dc.contributor.author | Chang, Mu-Fong | en_US |
dc.contributor.author | Huang, Yun-Jhu | en_US |
dc.date.accessioned | 2019-08-02T02:15:36Z | - |
dc.date.available | 2019-08-02T02:15:36Z | - |
dc.date.issued | 2019-06-01 | en_US |
dc.identifier.issn | 2158-3226 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1063/1.5108848 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/152265 | - |
dc.description.abstract | The computation of Franck-Condon factors plays a key role for unraveling vibronic spectra and nonradiative process of molecules. In this work the photoelectron spectra of C-122 were predicted by computing Franck-Condon factors. The equilibrium geometries and harmonic vibrational frequencies of five allotropes of C60C2C60 with dumbbell structures, including their cations and anions, were calculated at the B3LYP/6-31G(d) level. To facilitate the computation of Franck-Condon factors, a prescreening process for selecting transitions with stronger intensities was developed. The efficiency was further improved by rearranging the order of normal mode as the larger the maximum vibrational quantum number, the higher the order. The photoelectron spectra of C-122(-) -> C-122 + e(-) and C-122 -> C-122(+) + e(-) were simulated. The simulated spectra are distinct for each molecule, indicating that the five allotropes of C-122 can be identified by the experiment of photoelectron spectroscopy. | en_US |
dc.language.iso | en_US | en_US |
dc.title | Prediction of the photoelectron spectra of C-122 by computing Franck-Condon factors | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1063/1.5108848 | en_US |
dc.identifier.journal | AIP ADVANCES | en_US |
dc.citation.volume | 9 | en_US |
dc.citation.issue | 6 | en_US |
dc.citation.spage | 0 | en_US |
dc.citation.epage | 0 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000474430700072 | en_US |
dc.citation.woscount | 0 | en_US |
Appears in Collections: | Articles |