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<i>Ab initio</i> path integral Monte Carlo approach to the momentum distribution of the uniform electron gas at finite temperature without fixed nodes

Tobias Dornheim, Maximilian Böhme, Burkhard Militzer, Jan Vorberger

2021Physical review. B./Physical review. B47 citationsDOIOpen Access PDF

Abstract

We present extensive new ab initio path integral Monte Carlo results for the momentum distribution function $n(\mathbf{k})$ of the uniform electron gas in the warm dense matter regime over a broad range of densities and temperatures. This allows us to study the nontrivial exchange-correlation-induced increase of low-momentum states around the Fermi temperature, and to investigate its connection to the related lowering of the kinetic energy compared to the ideal Fermi gas. In addition, we investigate the impact of quantum statistics on both $n(\mathbf{k})$ and the off-diagonal density matrix in coordinate space, and find that it cannot be neglected even in the strongly coupled electron liquid regime. Our results were derived without any nodal constraints, and thus constitute a benchmark for other methods and approximations.

Topics & Concepts

Fermi gasPath integral Monte CarloPhysicsPosition and momentum spaceMomentum (technical analysis)ElectronMonte Carlo methodQuantum Monte CarloKinetic energyAb initioPath integral formulationSpace (punctuation)Distribution (mathematics)QuantumQuantum mechanicsCondensed matter physicsMathematicsMathematical analysisStatisticsLinguisticsEconomicsPhilosophyFinanceQuantum, superfluid, helium dynamicsPhysics of Superconductivity and MagnetismAdvanced Chemical Physics Studies
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