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Macroscopic simulations of dense plasmas rely on detailed microscopicinformation that can be computationally expensive and is difficult to verifyexperimentally. In this work, we delineate the accuracy boundary betweenmicroscale simulation methods by comparing Kohn-Sham density functional theorymolecular dynamics (KS-MD) and radial pair potential molecular dynamics (RPP-MD) for a range of elements, temperature, and density. By extracting theoptimal RPP from KS-MD data using force-matching, we constrain its functionalform and dismiss classes of potentials that assume a constant power law forsmall interparticle distances. Our results show excellent agreement betweenRPP-MD and KS-MD for multiple metrics of accuracy at temperatures of only a fewelectron volts. The use of RPPs offers orders of magnitude decrease incomputational cost and indicates that three-body potentials are not requiredbeyond temperatures of a few eV. Due to its efficiency, the validated RPP-MDprovides an avenue for reducing errors due to finite-size effects that can beon the order of $\sim20\%$.

Efficacy of the Radial Pair Potential Approximation for Molecular Dynamics Simulations of Dense Plasmas