2011
DOI: 10.1063/1.3628669
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Comparative study of cluster Ag17Cu2 by instantaneous normal mode analysis and by isothermal Brownian-type molecular dynamics simulation

Abstract: We perform isothermal Brownian-type molecular dynamics simulations to obtain the velocity autocorrelation function and its time Fourier-transformed power spectral density for the metallic cluster Ag(17)Cu(2). The temperature dependences of these dynamical quantities from T = 0 to 1500 K were examined and across this temperature range the cluster melting temperature T(m), which we define to be the principal maximum position of the specific heat is determined. The instantaneous normal mode analysis is then used … Show more

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Cited by 14 publications
(18 citation statements)
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“…In that work, a new order parameter was proposed in terms of the INM vibrational density of states (DOS) that are associated with the Ag atoms in the cluster. 29 This order parameter interprets pretty well the melting behavior of Ag 17 Cu 2 and the predicted T m is in fairly good agreement with that inferred from C V . 30 In this paper, we study the melting transition of metallic cluster Ag 14 based on a generalization of the INM analysis which will be described in Sec.…”
Section: Introductionsupporting
confidence: 80%
See 1 more Smart Citation
“…In that work, a new order parameter was proposed in terms of the INM vibrational density of states (DOS) that are associated with the Ag atoms in the cluster. 29 This order parameter interprets pretty well the melting behavior of Ag 17 Cu 2 and the predicted T m is in fairly good agreement with that inferred from C V . 30 In this paper, we study the melting transition of metallic cluster Ag 14 based on a generalization of the INM analysis which will be described in Sec.…”
Section: Introductionsupporting
confidence: 80%
“…Beginning at the LES, the cluster at a finite temperature can be prepared by the MD run, in which the cluster temperature is raised gradually from zero. 24,29 In all of these simulations, atoms at a finite temperature are traced by their labels which are tagged at their LES.…”
Section: A Simulationmentioning
confidence: 99%
“…By contrast, the second-cumulant predictions obtained using the stable INMs were in complete agreement with the simulation results only over timescales shorter than t min ; this was consistent with past observations for other TCFs predicted using the stable INMs. 77, 88, 89 However, although not in complete agreement with the simulation results, in general, the predictions obtained using the stable INMs for the orientational TCFs captured the behavior of the simulation results up to approximately 0.1 ps; during this period, the recurrence was included.…”
Section: A Global Moleculesmentioning
confidence: 80%
“…(27) In the stable-INM approximation, in which the imaginary branch of the INM spectrum is neglected, the AVAF power spectrum D ν (ω) is further approximated as the rotational stable-INM spectrum D I NM,s ν (ω), which is renormalized. 59,76,77 Normally, the lower the fraction of imaginary INMs in a system is, the more accurate the stable-INM approximation. Low fractions of imaginary INMs are found in systems at low temperatures or those with H-bonds, such as liquid water.…”
Section: |mentioning
confidence: 99%
“…32,33 Nowadays, the INM theory has been developed as an analytical tool to study the vibrational modes in disordered systems and some results by this analysis have been reported recently. [34][35][36][37][38][39][40] In general, the density of states (DOS) of INMs can be related to the vibrational spectrum observed by experiments. On the other hand, with inverse participation ratio (IPR), 41 the localization of INMs can be studied.…”
Section: Introductionmentioning
confidence: 99%