On the application of instantaneous normal mode analysis to long time dynamics of liquids
J. Chem. Phys. 103, 2169 (1995); doi:10.1063/1.469693
Issue Date: 8 August 1995
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While the applicability of instantaneous normal mode (INM) analysis of liquids to short time dynamics is in principle obvious, its relevance to long time dynamics is not clear. Recent attempts by Keyes and co-workers to apply information obtained from this analysis to self-diffusion in supercooled liquid argon is critically analyzed. By extending the range of frequencies studied we show that both imaginary and real branches of the density of modes are represented better, for large
, by ln[
(
)]~
2/T than by ln[
(
)]~
4/T2 as advocated by Keyes [J. Chem. Phys. 101, 5081 (1994)]. However, since in the relevant frequency range the two fits almost overlap, the numerical results obtained by Keyes, showing good agreement with the simulation results for self-diffusion in supercooled liquid argon, remain valid even though implications for the frequency dependence of the barrier height distribution change. We also explore other possibilities for extracting information from the INM analysis: (1) The density of ``zero force modes,'' defined as the distribution of normal modes found at the bottom or top of their parabolic potential surfaces, can be computed with no appreciable additional numerical effort. This distribution provides a better representation than the total density of modes for the normal mode distribution at well bottoms and at saddles, however, we find that it makes little difference in quantitative analysis. (2) We suggest that the ratio
u(
)/
s(
) between the density of modes in the unstable and stable branches provide an estimate for the averaged barrier height distribution for large
. Using this estimate in a transition state theory calculation of the average hopping time between locally stable liquid configurations and using the resulting time in a calculation of the self-diffusion coefficient yields a very good agreement with results of numerical simulation. ©1995 American Institute of Physics.
, by ln[
(
)]~
2/T than by ln[
(
)]~
4/T2 as advocated by Keyes [J. Chem. Phys. 101, 5081 (1994)]. However, since in the relevant frequency range the two fits almost overlap, the numerical results obtained by Keyes, showing good agreement with the simulation results for self-diffusion in supercooled liquid argon, remain valid even though implications for the frequency dependence of the barrier height distribution change. We also explore other possibilities for extracting information from the INM analysis: (1) The density of ``zero force modes,'' defined as the distribution of normal modes found at the bottom or top of their parabolic potential surfaces, can be computed with no appreciable additional numerical effort. This distribution provides a better representation than the total density of modes for the normal mode distribution at well bottoms and at saddles, however, we find that it makes little difference in quantitative analysis. (2) We suggest that the ratio
u(
)/
s(
) between the density of modes in the unstable and stable branches provide an estimate for the averaged barrier height distribution for large
. Using this estimate in a transition state theory calculation of the average hopping time between locally stable liquid configurations and using the resulting time in a calculation of the self-diffusion coefficient yields a very good agreement with results of numerical simulation. ©1995 American Institute of Physics.
| History: | Received 14 February 1995; accepted 3 May 1995 |
| Permalink: |
http://link.aip.org/link/?JCPSA6/103/2169/1 |
KEYWORDS and PACS
LIQUID STRUCTURE,
NORMAL&minus,
MODE ANALYSIS,
SELF&minus,
DIFFUSION,
ARGON,
POTENTIAL ENERGY SURFACES,
CORRELATION TIME
- 61.20.Ne
Structure of solids and liquids; crystallography Structure of liquids Structure of simple liquids - YEAR: 1995
RELATED DATABASES
PUBLICATION DATA
0021-9606 (print)
1089-7690 (online)
REFERENCES (31)
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- Note that the definition of QB/Qm here is different from
B/
m, the ratio of phase space volumes in the barrier and well regions of Ref 8, by a factor of (in the harmonic approximation)
B/
m where
B is the barrier frequency. - For a pair of neighboring barrier and well associated with the same frequency
and located at a fixed distance from each other, the vertical energy difference scales as
2. This is expected to hold for modes of strong local character, i.e., large
0. - Numerically we see a large accumulation of k~0 modes in the
(k) spectrum [see Fig. 4(a)], pointing to the importance of contributions not from saddles and not from well bottoms. - We believe that the large estimate for the parameter
3z~0.43 (
is the number of atoms in the independent rearranging regions) results from this assumption. For a modest z = 6 this would imply
= 8. This implies that the dimension of the saddle—the number of downward directions and z is the typical saddle has 8 reactive directions, while the fit to the diffusion constant uses one such direction. - Ensembles of 2000 configurations and of 50 configurations were used for the 100 particle system and the 400 particle system, respectively.
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, i.e.,
k = 2k1/2
, with 
= 0.1 was used to construct the histograms for
(
) and
0(
) in Figs. 1 and 2. Making the same choice here yields very similar results with somewhat bigger scatter of data in the large |k| range. - A possible exception is ln
0s(|k|) in the high density fluid, which we found to be represented almost as well by both forms, i.e., the best fit would be to exp(−
kx) with 1<x<2. - U. Mohanty, Phys. Rev. A 32, 3055 (1985).








