1996
DOI: 10.1063/1.472351
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Saddle-node bifurcations in the LiNC/LiCN molecular system: Classical aspects and quantum manifestations

Abstract: A classical-quantum correspondence study of a saddle-node bifurcation in a realistic molecular system is presented. The relevant classical structures ͑periodic orbits and manifolds͒ and its origin are examined in detail. The most important conclusion of this study is that, below the bifurcation point, there exists an infinite sequence of precursor orbits, which mimic for a significant period of time the ͑future͒ saddle-node orbits. These structures have a profound influence in the quantum mechanics of the mole… Show more

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Cited by 40 publications
(27 citation statements)
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“…This represents an additional source of uncertainity in the RRKM calculations performed here, although full derivation of the molecular energy levels is a complex issue. 29,30 4.4. General Comments.…”
Section: + No Ab Initio Resultsmentioning
confidence: 99%
“…This represents an additional source of uncertainity in the RRKM calculations performed here, although full derivation of the molecular energy levels is a complex issue. 29,30 4.4. General Comments.…”
Section: + No Ab Initio Resultsmentioning
confidence: 99%
“…However, SN bifurcations are also found above the barriers of isomerization/dissociation [Farantos, 1996]. There is evidence that they result from the unstable periodic orbits originated from the saddle point and the Newhouse wild hyperbolic set [Newhouse, 1979;Borondo et al, 1996;Contopoulos et al, 1996]. These periodic orbits seem to have no connection to any main family and they appear abruptly like the cubic polynomial type.…”
Section: Application To the 1 B 2 -State Of Ozonementioning
confidence: 99%
“…Many authors [37][38][39][40][41] compared the quantum and classical dynamics to understand the vibrational wave functions and proved the benefit of the classical analyses. Although the periodic orbit analysis is one of the most common and powerful tool, we adopted the Poincarè SOS, taking advantage of the 2D model, in order to characterize 2D trajectories.…”
Section: Two-dimensional Analysesmentioning
confidence: 99%