Lattice Anharmonicity and Thermal Conductivity from Compressive Sensing of First-Principles Calculations
Abstract
First-principles prediction of lattice thermal conductivity KL of strongly anharmonic crystals is a long-standing challenge in solid state physics. Using recent advances in information science, we propose a systematic and rigorous approach to this problem, compressive sensing lattice dynamics (CSLD). Compressive sensing is used to select the physically important terms in the lattice dynamics model and determine their values in one shot. Non-intuitively, high accuracy is achieved when the model is trained on first-principles forces in quasi-random atomic configurations. The method is demonstrated for Si, NaCl, and Cu12Sb4S13, an earth-abundant thermoelectric with strong phononphonon interactions that limit the room-temperature KL to values near the amorphous limit.
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Univ. of California, Los Angeles, CA (United States). Dept. of Materials Science and Engineering
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Revolutionary Materials for Solid State Energy Conversion (RMSSEC); Univ. of California, Los Angeles, CA (United States); Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1253343
- Alternate Identifier(s):
- OSTI ID: 1181325
- Grant/Contract Number:
- SC0001054; AC52-07NA27344; AC02-05CH11231; DMR-1106024; AC02-05CH11231.
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Physical Review Letters
- Additional Journal Information:
- Journal Volume: 113; Journal Issue: 18; Journal ID: ISSN 0031-9007
- Publisher:
- American Physical Society (APS)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE
Citation Formats
Zhou, Fei, Nielson, Weston, Xia, Yi, and Ozolins, Vidvuds. Lattice Anharmonicity and Thermal Conductivity from Compressive Sensing of First-Principles Calculations. United States: N. p., 2014.
Web. doi:10.1103/PhysRevLett.113.185501.
Zhou, Fei, Nielson, Weston, Xia, Yi, & Ozolins, Vidvuds. Lattice Anharmonicity and Thermal Conductivity from Compressive Sensing of First-Principles Calculations. United States. https://doi.org/10.1103/PhysRevLett.113.185501
Zhou, Fei, Nielson, Weston, Xia, Yi, and Ozolins, Vidvuds. 2014.
"Lattice Anharmonicity and Thermal Conductivity from Compressive Sensing of First-Principles Calculations". United States. https://doi.org/10.1103/PhysRevLett.113.185501. https://www.osti.gov/servlets/purl/1253343.
@article{osti_1253343,
title = {Lattice Anharmonicity and Thermal Conductivity from Compressive Sensing of First-Principles Calculations},
author = {Zhou, Fei and Nielson, Weston and Xia, Yi and Ozolins, Vidvuds},
abstractNote = {First-principles prediction of lattice thermal conductivity KL of strongly anharmonic crystals is a long-standing challenge in solid state physics. Using recent advances in information science, we propose a systematic and rigorous approach to this problem, compressive sensing lattice dynamics (CSLD). Compressive sensing is used to select the physically important terms in the lattice dynamics model and determine their values in one shot. Non-intuitively, high accuracy is achieved when the model is trained on first-principles forces in quasi-random atomic configurations. The method is demonstrated for Si, NaCl, and Cu12Sb4S13, an earth-abundant thermoelectric with strong phononphonon interactions that limit the room-temperature KL to values near the amorphous limit.},
doi = {10.1103/PhysRevLett.113.185501},
url = {https://www.osti.gov/biblio/1253343},
journal = {Physical Review Letters},
issn = {0031-9007},
number = 18,
volume = 113,
place = {United States},
year = {Mon Oct 27 00:00:00 EDT 2014},
month = {Mon Oct 27 00:00:00 EDT 2014}
}
Web of Science
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