Unraveling the highly nonlinear dynamics of KCN molecular system using Lagrangian descriptors

Revuelta Peña, Fabio ORCID: https://orcid.org/0000-0002-2410-5881, Arranz Saiz, Francisco Javier ORCID: https://orcid.org/0000-0003-1270-0701, Benito Zafrilla, Rosa Maria ORCID: https://orcid.org/0000-0003-3949-8232 and Borondo Rodríguez, Florentino (2023). Unraveling the highly nonlinear dynamics of KCN molecular system using Lagrangian descriptors. "Communications in Nonlinear Science and Numerical Simulation", v. 123 ; pp.. ISSN 1007-5704. https://doi.org/10.1016/j.cnsns.2023.107265.

Description

Title: Unraveling the highly nonlinear dynamics of KCN molecular system using Lagrangian descriptors
Author/s:
Item Type: Article
Título de Revista/Publicación: Communications in Nonlinear Science and Numerical Simulation
Date: 24 April 2023
ISSN: 1007-5704
Volume: 123
Subjects:
Freetext Keywords: Vibraciones moleculares (molecular vibrations), variedades invariantes (invariant manifolds), descriptores lagrangianos (Lagrangian descriptors)
Faculty: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Department: Ingeniería Agroforestal
UPM's Research Group: Sistemas Complejos GSC
Creative Commons Licenses: Recognition - Non commercial - Share

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Abstract

In this work, we identify the phase-space structures which are responsible for the chaotic dynamics observed in KCN molecular system using the Lagrangian descriptors. We show
that the vibrational dynamics of this molecule is strongly determined by the invariant manifolds associated with a particular stretching periodic orbit previously described
(Párraga et al., 2018). Likewise, the representation of these invariant manifolds on a Poincaré surface of section is also studied, concluding that the intricate depiction that is observed has its origin in the complex behavior of the manifolds, which is a consequence of the strong anharmonicities in the potential energy surface.

Funding Projects

Type
Code
Acronym
Leader
Title
Madrid Regional Government
APOYO-JOVENES-4L2UB6-53-29443N
GeoCoSiM
Fabio Revuelta
Geometría y Control de Sistemas Microscópicos. Nuevas Perspectivas
Government of Spain
PID2021-122711NB-C21
Unspecified
Rosa María Benito y Juan Carlos Losada
Unspecified
Government of Spain
CEX2019-000904-S
Unspecified
Unspecified
Unspecified
Horizon 2020
734557
TraX
Thomas Bartsch
Unspecified

More information

Item ID: 73859
DC Identifier: https://oa.upm.es/73859/
OAI Identifier: oai:oa.upm.es:73859
DOI: 10.1016/j.cnsns.2023.107265
Official URL: https://www.sciencedirect.com/science/article/pii/...
Deposited by: Fabio Fabio Revuelta Peña
Deposited on: 12 May 2023 10:42
Last Modified: 12 May 2023 10:42
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