1993
DOI: 10.1103/physreve.48.3478
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Efficient determination of the nonlinear Burnett coefficients

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Cited by 2 publications
(3 citation statements)
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“…There is a considerable system size dependence, indicating that the nonlinear Burnett coefficients diverge in the thermodynamic limit, although the individual TTCFs remain finite. It can be shown, using the lemma proved in the appendix of [9], that the inverse nonlinear Burnett coefficients given by equation ( 2) should be intensive. As well as this, the 32 particle simulation shows strong evidence of a long time tail (Fig 2 and 3) when Q λ is increased (softening the currentstatting), leading to a divergence in the integrals as t → ∞.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…There is a considerable system size dependence, indicating that the nonlinear Burnett coefficients diverge in the thermodynamic limit, although the individual TTCFs remain finite. It can be shown, using the lemma proved in the appendix of [9], that the inverse nonlinear Burnett coefficients given by equation ( 2) should be intensive. As well as this, the 32 particle simulation shows strong evidence of a long time tail (Fig 2 and 3) when Q λ is increased (softening the currentstatting), leading to a divergence in the integrals as t → ∞.…”
Section: Resultsmentioning
confidence: 99%
“…In a previous paper [8] we show that this method can be applied to the situation of an arbitrary thermodynamic flux. Later, [9] we showed that this transient time correlation expression can be expressed in terms of an average over an equilibrium simulation, reducing the calculation required by two orders of magnitude. At the time, computational resources were not sufficient to establish whether this expression is finite in the limit as t → ∞, or in the thermodynamic limit.…”
Section: Introductionmentioning
confidence: 99%
“…Gases with internal degrees of freedom have been examined in [95]. Other analyses of second-order constitutive equations are based on numerical simulations [15,172,201], on information-theoretical methods [52,87,133,134,[186][187][188][190][191] or on generalizations of the fluctuation-dissipation theorem [15,77,88]. Special attention to some of the subtleties related to the definition of the entropy may be found in [6][7][8][46][47][48][49].…”
Section: G) Kinetic Theory Molecular Simulations and Information Theorymentioning
confidence: 99%