TY - JOUR
T1 - An efficient and accurate framework for calculating lattice thermal conductivity of solids
T2 - AFLOW - AAPL Automatic Anharmonic Phonon Library
AU - Plata, Jose J.
AU - Nath, Pinku
AU - Usanmaz, Demet
AU - Carrete, Jesús
AU - Toher, Cormac
AU - De Jong, Maarten
AU - Asta, Mark
AU - Fornari, Marco
AU - Nardelli, Marco Buongiorno
AU - Curtarolo, Stefano
N1 - Funding Information:
The authors thank Drs. Natalio Mingo, David Hicks, Mike Mehl, Ohad Levy, Christian Carbogno, Matthias Scheffler, and Corey Oses for various technical discussions. We acknowledge support by the DOE (DE-AC02-05CH11231), specifically the Basic Energy Sciences program under Grant # EDCBEE. C.T., M.F., M.B.N., and S.C. acknowledge partial support by DOD-ONR (N00014-13-1-0635, N00014-11-1-0136, and N00014-15-1-2863). The AFLOW consortium acknowledges Duke University–Center for Materials Genomics—for computational support. S.C. acknowledges the Alexander von Humboldt Foundation for financial support (Fritz-Haber-Institut der Max-Planck-Gesellschaft, 14195 Berlin-Dahlem, Germany).
Funding Information:
We acknowledge support by the DOE (DE-AC02-05CH11231), specifically the Basic Energy Sciences program under Grant # EDCBEE. C.T., M.F., M.B.N., and S.C. acknowledge partial support by DOD-ONR (N00014-13-1-0635, N00014-11-1-0136, and N00014-15-1-2863).
Publisher Copyright:
© 2017 The Author(s).
PY - 2017/12/1
Y1 - 2017/12/1
N2 - One of the most accurate approaches for calculating lattice thermal conductivity, κ ℓ DMPSID=1, is solving the Boltzmann transport equation starting from third-order anharmonic force constants. In addition to the underlying approximations of ab-initio parameterization, two main challenges are associated with this path: high computational costs and lack of automation in the frameworks using this methodology, which affect the discovery rate of novel materials with ad-hoc properties. Here, the Automatic Anharmonic Phonon Library (AAPL) is presented. It efficiently computes interatomic force constants by making effective use of crystal symmetry analysis, it solves the Boltzmann transport equation to obtain κ ℓ DMPSID=2, and allows a fully integrated operation with minimum user intervention, a rational addition to the current high-throughput accelerated materials development framework AFLOW. An "experiment vs. theory" study of the approach is shown, comparing accuracy and speed with respect to other available packages, and for materials characterized by strong electron localization and correlation. Combining AAPL with the pseudo-hybrid functional ACBN0 is possible to improve accuracy without increasing computational requirements.
AB - One of the most accurate approaches for calculating lattice thermal conductivity, κ ℓ DMPSID=1, is solving the Boltzmann transport equation starting from third-order anharmonic force constants. In addition to the underlying approximations of ab-initio parameterization, two main challenges are associated with this path: high computational costs and lack of automation in the frameworks using this methodology, which affect the discovery rate of novel materials with ad-hoc properties. Here, the Automatic Anharmonic Phonon Library (AAPL) is presented. It efficiently computes interatomic force constants by making effective use of crystal symmetry analysis, it solves the Boltzmann transport equation to obtain κ ℓ DMPSID=2, and allows a fully integrated operation with minimum user intervention, a rational addition to the current high-throughput accelerated materials development framework AFLOW. An "experiment vs. theory" study of the approach is shown, comparing accuracy and speed with respect to other available packages, and for materials characterized by strong electron localization and correlation. Combining AAPL with the pseudo-hybrid functional ACBN0 is possible to improve accuracy without increasing computational requirements.
UR - http://www.scopus.com/inward/record.url?scp=85042217999&partnerID=8YFLogxK
U2 - 10.1038/s41524-017-0046-7
DO - 10.1038/s41524-017-0046-7
M3 - Article
AN - SCOPUS:85042217999
SN - 2057-3960
VL - 3
JO - npj Computational Materials
JF - npj Computational Materials
IS - 1
M1 - 45
ER -