Quantum Monte Carlo calculations of the thermal conductivity of neutron star crusts
Sajad Abbar (UNM), Joe Carlson (LANL), Huaiyu Duan (UNM), Sanjay Reddy, (UW)

TL;DR
This paper employs quantum Monte Carlo methods to accurately compute the thermal conductivity of neutron star crust matter, highlighting quantum effects and establishing QMC as a key tool for low-temperature, multi-component systems.
Contribution
It demonstrates the effectiveness of QMC in calculating thermal conductivity and quantifies quantum effects, extending the methodology beyond traditional approximations for neutron star crusts.
Findings
Quantum effects reduce thermal conductivity by ~30% at T ≈ 0.1 Ω_P.
QMC results align with multi-phonon approximations at higher temperatures.
QMC is validated as a viable method for low-temperature, multi-component neutron star crusts.
Abstract
We use the quantum Monte Carlo (QMC) techniques to calculate the static structure function of a one-component ion lattice and use it to calculate the thermal conductivity of high-density solid matter expected in the neutron star crust. By making detailed comparisons with the results for the thermal conductivity obtained using standard techniques based on the one-phonon approximation (OPA) valid at low temperature, and the multi-phonon harmonic approximation expected to be valid over a wide range of temperatures, we asses the temperature regime where from QMC can be used directly to calculate . We also compare the QMC results to those obtained using classical Monte Carlo to quantitatively asses the magnitude of the quantum corrections. We find that quantum effects became relevant for the calculation of at temperature $T \lesssim 0.3…
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