Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional
Abstract
We discuss self-consistently obtained ground-state electronic properties of monolayers of graphene and a number of ’beyond graphene’ compounds, including films of transition-metal dichalcogenides (TMDs), using the recently proposed strongly constrained and appropriately normed (SCAN) meta-generalized gradient approximation (meta-GGA) to the density functional theory. The SCAN meta-GGA results are compared with those based on the local density approximation (LDA) as well as the generalized gradient approximation (GGA). As expected, the GGA yields expanded lattices and softened bonds in relation to the LDA, but the SCAN meta-GGA systematically improves the agreement with experiment. Our study suggests the efficacy of the SCAN functional for accurate modeling of electronic structures of layered materials in high-throughput calculations more generally.
- Authors:
-
- Northeastern Univ., Boston, MA (United States). Dept. of Physics
- Temple Univ., Philadelphia, PA (United States). Dept. of Physics
- Univ. of Texas, El Paso, TX (United States). Dept. of Physics
- Publication Date:
- Research Org.:
- Energy Frontier Research Centers (EFRC) (United States). Center for Complex Materials from First Principles (CCM); Northeastern Univ., Boston, MA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); Center for Computational Design of Functional Layered Materials (CCDM); National Energy Research Scientific Computing Center (NERSC)
- OSTI Identifier:
- 1423570
- Grant/Contract Number:
- FG02-07ER46352; AC02-05CH11231; SC0012575
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Scientific Reports
- Additional Journal Information:
- Journal Volume: 7; Journal ID: ISSN 2045-2322
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; Electronic properties and materials; Surfaces; interfaces and thin films
Citation Formats
Buda, I. G., Lane, C., Barbiellini, B., Ruzsinszky, A., Sun, J., and Bansil, A. Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional. United States: N. p., 2017.
Web. doi:10.1038/srep44766.
Buda, I. G., Lane, C., Barbiellini, B., Ruzsinszky, A., Sun, J., & Bansil, A. Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional. United States. https://doi.org/10.1038/srep44766
Buda, I. G., Lane, C., Barbiellini, B., Ruzsinszky, A., Sun, J., and Bansil, A. Thu .
"Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional". United States. https://doi.org/10.1038/srep44766. https://www.osti.gov/servlets/purl/1423570.
@article{osti_1423570,
title = {Characterization of Thin Film Materials using SCAN meta-GGA, an Accurate Nonempirical Density Functional},
author = {Buda, I. G. and Lane, C. and Barbiellini, B. and Ruzsinszky, A. and Sun, J. and Bansil, A.},
abstractNote = {We discuss self-consistently obtained ground-state electronic properties of monolayers of graphene and a number of ’beyond graphene’ compounds, including films of transition-metal dichalcogenides (TMDs), using the recently proposed strongly constrained and appropriately normed (SCAN) meta-generalized gradient approximation (meta-GGA) to the density functional theory. The SCAN meta-GGA results are compared with those based on the local density approximation (LDA) as well as the generalized gradient approximation (GGA). As expected, the GGA yields expanded lattices and softened bonds in relation to the LDA, but the SCAN meta-GGA systematically improves the agreement with experiment. Our study suggests the efficacy of the SCAN functional for accurate modeling of electronic structures of layered materials in high-throughput calculations more generally.},
doi = {10.1038/srep44766},
journal = {Scientific Reports},
number = ,
volume = 7,
place = {United States},
year = {Thu Mar 23 00:00:00 EDT 2017},
month = {Thu Mar 23 00:00:00 EDT 2017}
}
Web of Science
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