A diagrammatic formulation of the kinetic theory of fluctuations in equilibrium classical fluids. VI. Binary collision approximations for the memory function for self correlation functions
Joyce E. Noah-Vanhoucke, Hans C. Andersen

TL;DR
This study evaluates various binary collision approximations for the memory function in dense Lennard-Jones fluids using computer simulations, revealing their strengths and limitations in predicting correlation functions across different timescales.
Contribution
The paper provides a systematic comparison of multiple binary collision approximations against simulation data, highlighting their accuracy and shortcomings in modeling fluid dynamics.
Findings
MGBE is accurate at short times but poor at intermediate times.
BCA is exact at zero time but diverges at long times.
STA reasonably predicts the SLCC but misses temperature dependence.
Abstract
We use computer simulation results for a dense Lennard-Jones fluid for a range of temperatures to test the accuracy of various binary collision approximations for the memory function for density fluctuations in liquids. The approximations tested include the moderate density approximation of the generalized Boltzmann-Enskog memory function (MGBE) of Mazenko and Yip, the binary collision approximation (BCA) and the short time approximation (STA) of Ranganathan and Andersen, and various other approximations derived by us using diagrammatic methods. The tests are of twotypes. The first is a comparison of the correlation functions predicted by each approximate memory function with the simulation results, especially for the self longitudinal current correlation function (SLCC). The second is a direct comparison of each approximate memory function with a memory function numerically extracted…
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