2013
DOI: 10.1103/physrevlett.111.215002
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Molecular Dynamics Simulations of Classical Stopping Power

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Cited by 88 publications
(79 citation statements)
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“…In contrast, we found a wellresolved disagreement between the measured rate and predictions based on only weak coupling considerations, making these results the first demonstration of strong coupling influence on electron-ion collision rates in a system free of significant interaction with neutrals. While previous strong coupling theoretical extensions naively indicate 50 % corrections for our conditions [1,6,17,18], we see a factor of 4 increase instead -a much larger effect that is described in detail below.To create our UCP, we first made an 85 Rb magneto- …”
contrasting
confidence: 39%
“…In contrast, we found a wellresolved disagreement between the measured rate and predictions based on only weak coupling considerations, making these results the first demonstration of strong coupling influence on electron-ion collision rates in a system free of significant interaction with neutrals. While previous strong coupling theoretical extensions naively indicate 50 % corrections for our conditions [1,6,17,18], we see a factor of 4 increase instead -a much larger effect that is described in detail below.To create our UCP, we first made an 85 Rb magneto- …”
contrasting
confidence: 39%
“…Further, we mention a classical molecular dynamics approach to charged-particle stopping in warm dense matter by Grabowski et al [6] where the classical wake potential was computed. Finally, an even simpler approach that is based on a quantum hydrodynamic model (QHD) has been applied that predicts an attractive interaction between ions even in the absence of streaming, u e = 0 [29].…”
Section: Introductionmentioning
confidence: 99%
“…In complex plasmas [1], dynamical screening and wake effects have been investigated in a large number of studies, including experimental [2,3,4,5] as well as theoretical [6,7,8,9,10] work. ‡ Computational approaches include first-principle molecular dynamics simulations [13,14,15], fluid codes [16,17] and particle-in-cell (PIC) simulations, e.g. [18,19,20,21].…”
Section: Introductionmentioning
confidence: 99%