Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Collective Mode Mining from Molecular Dynamics Simulations: A Comparative Approach

Articolo
Data di Pubblicazione:
2018
Abstract:
The evaluation of collective modes is fundamental in the analysis of molecular dynamics simulations. Several methods are available to extract that information, i.e., normal mode analysis, principal component and spectral analysis of trajectories, basically differing by the quantity considered as the nodal one (frequency, amplitude, or pattern of displacement) and leading to the definition of different kinds of collective excitations and physical spectral observables. The different views converge in the harmonic regime and/or for homo-atomic systems. However, for anharmonic and out of equilibrium dynamics, different quantities bring different information, and only their comparison can give a complete view of the system behavior. To allow such a comparative analysis, we review and compare the different approaches, applying them in diverse combinations to two examples of physical relevance: graphene and fullerene C(Formula presented.).
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
fullerene; graphene; molecular dynamics simulations; principal modes analysis; spectral analysis; Vibrational modes
Elenco autori:
Camiola, VITO DARIO; Tozzini, Valentina
Autori di Ateneo:
TOZZINI VALENTINA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/371195
Pubblicato in:
INTERNATIONAL JOURNAL OF COMPUTATIONAL METHODS
Journal
  • Dati Generali

Dati Generali

URL

http://www.scopus.com/inward/record.url?eid=2-s2.0-85045202623&partnerID=q2rCbXpz
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)