Computational prediction of lattice thermal conductivity: A comparison of molecular dynamics and Boltzmann transport approaches
Abstract
The predictive modeling of lattice thermal conductivity is of fundamental importance for the understanding and design of materials for a wide range of applications. Two major approaches, namely molecular dynamics (MD) simulations and calculations solving approximately the Boltzmann transport equation (BTE), have been developed to compute the lattice thermal conductivity. We present a detailed direct comparison of these two approaches, using as prototypical cases MgO and PbTe. The comparison, carried out using empirical potentials, takes into account the effects of fourth order phonon scattering, temperature-dependent phonon frequencies (phonon renormalization), and investigates the effects of quantum vs classical statistics. We clarify that equipartition, as opposed to Maxwell-Boltzmann, govern the statistics of phonons in MD simulations. We find that lattice thermal conductivity values from MD and BTE show an apparent, satisfactory agreement; however such an agreement is the result of error cancellations. As a result we also show that the primary effect of statistics on thermal conductivity is via the scattering rate dependence on phonon populations.
- Authors:
-
- Univ. of Chicago, Chicago, IL (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Univ. of Chicago, Chicago, IL (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1560856
- Alternate Identifier(s):
- OSTI ID: 1550594
- Grant/Contract Number:
- AC02-06CH11357; AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Physical Review Materials
- Additional Journal Information:
- Journal Volume: 3; Journal Issue: 8; Journal ID: ISSN 2475-9953
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Puligheddu, Marcello, Xia, Yi, Chan, Maria, and Galli, Giulia. Computational prediction of lattice thermal conductivity: A comparison of molecular dynamics and Boltzmann transport approaches. United States: N. p., 2019.
Web. doi:10.1103/PhysRevMaterials.3.085401.
Puligheddu, Marcello, Xia, Yi, Chan, Maria, & Galli, Giulia. Computational prediction of lattice thermal conductivity: A comparison of molecular dynamics and Boltzmann transport approaches. United States. https://doi.org/10.1103/PhysRevMaterials.3.085401
Puligheddu, Marcello, Xia, Yi, Chan, Maria, and Galli, Giulia. Thu .
"Computational prediction of lattice thermal conductivity: A comparison of molecular dynamics and Boltzmann transport approaches". United States. https://doi.org/10.1103/PhysRevMaterials.3.085401. https://www.osti.gov/servlets/purl/1560856.
@article{osti_1560856,
title = {Computational prediction of lattice thermal conductivity: A comparison of molecular dynamics and Boltzmann transport approaches},
author = {Puligheddu, Marcello and Xia, Yi and Chan, Maria and Galli, Giulia},
abstractNote = {The predictive modeling of lattice thermal conductivity is of fundamental importance for the understanding and design of materials for a wide range of applications. Two major approaches, namely molecular dynamics (MD) simulations and calculations solving approximately the Boltzmann transport equation (BTE), have been developed to compute the lattice thermal conductivity. We present a detailed direct comparison of these two approaches, using as prototypical cases MgO and PbTe. The comparison, carried out using empirical potentials, takes into account the effects of fourth order phonon scattering, temperature-dependent phonon frequencies (phonon renormalization), and investigates the effects of quantum vs classical statistics. We clarify that equipartition, as opposed to Maxwell-Boltzmann, govern the statistics of phonons in MD simulations. We find that lattice thermal conductivity values from MD and BTE show an apparent, satisfactory agreement; however such an agreement is the result of error cancellations. As a result we also show that the primary effect of statistics on thermal conductivity is via the scattering rate dependence on phonon populations.},
doi = {10.1103/PhysRevMaterials.3.085401},
journal = {Physical Review Materials},
number = 8,
volume = 3,
place = {United States},
year = {Thu Aug 08 00:00:00 EDT 2019},
month = {Thu Aug 08 00:00:00 EDT 2019}
}
Web of Science
Figures / Tables:
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