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005     20200423203939.0
017 _ _ |a This version is available at the following Publisher URL: http://jcp.aip.org
024 7 _ |a pmid:15268297
|2 pmid
024 7 _ |a 10.1063/1.1642599
|2 DOI
024 7 _ |a WOS:000188389100001
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024 7 _ |a 2128/2224
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037 _ _ |a PreJuSER-42302
041 _ _ |a eng
082 _ _ |a 540
084 _ _ |2 WoS
|a Physics, Atomic, Molecular & Chemical
100 1 _ |a Kneller, G. R.
|b 0
|0 P:(DE-HGF)0
245 _ _ |a Scaling of the Memory Function and Brownian Motion
260 _ _ |a Melville, NY
|b American Institute of Physics
|c 2004
300 _ _ |a 1667 - 1669
336 7 _ |a Journal Article
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440 _ 0 |a Journal of Chemical Physics
|x 0021-9606
|0 3145
|v 120
500 _ _ |a Record converted from VDB: 12.11.2012
520 _ _ |a It has been recently shown that the velocity autocorrelation function of a tracer particle immersed in a simple liquid scales approximately with the inverse of its mass. With increasing mass the amplitude is systematically reduced and the velocity autocorrelation function tends to a slowly decaying exponential, which is characteristic for Brownian motion. We give here an analytical proof for this behavior and comment on the usual explanation for Brownian dynamics which is based on the assumption that the memory function is proportional to a Dirac distribution. We also derive conditions for Brownian dynamics of a tracer particle which are entirely based on properties of its memory function.
536 _ _ |a Betrieb und Weiterentwicklung des Höchstleistungsrechners
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700 1 _ |a Sutmann, G.
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773 _ _ |a 10.1063/1.1642599
|g Vol. 120, p. 1667 - 1669
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856 7 _ |u http://dx.doi.org/10.1063/1.1642599
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|d 31.12.2007
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