Litcius/Paper detail

Thermal transport by electrons and ions in warm dense aluminum: A combined density functional theory and deep potential study

Qianrui Liu, Junyi Li, Mohan Chen

2021Matter and Radiation at Extremes25 citationsDOIOpen Access PDF

Abstract

We propose an efficient scheme that combines density functional theory (DFT) with deep potentials (DPs), to systematically study convergence issues in the computation of the electronic thermal conductivity of warm dense aluminum (2.7 g/cm3 and temperatures ranging from 0.5 eV to 5.0 eV) with respect to the number of k-points, the number of atoms, the broadening parameter, the exchange-correlation functionals, and the pseudopotentials. Furthermore, we obtain the ionic thermal conductivity using the Green–Kubo method in conjunction with DP molecular dynamics simulations, and we study size effects on the ionic thermal conductivity. This work demonstrates that the proposed method is efficient in evaluating both electronic and ionic thermal conductivities of materials.

Topics & Concepts

Ionic bondingThermal conductivityDensity functional theoryThermalIonElectronWork (physics)Convergence (economics)Ionic conductivityMaterials scienceAluminiumComputationMolecular dynamicsCondensed matter physicsChemistryThermodynamicsPhysicsComputational chemistryComputer sciencePhysical chemistryQuantum mechanicsAlgorithmComposite materialElectrodeEconomicsEconomic growthElectrolyteThermal properties of materialsMachine Learning in Materials ScienceAdvanced Thermoelectric Materials and Devices
Thermal transport by electrons and ions in warm dense aluminum: A combined density functional theory and deep potential study | Litcius