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AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians

Publication ,  Journal Article
Supka, AR; Lyons, TE; Liyanage, L; D'Amico, P; Al Rahal Al Orabi, R; Mahatara, S; Gopal, P; Toher, C; Ceresoli, D; Calzolari, A; Curtarolo, S ...
Published in: Computational Materials Science
August 1, 2017

Tight-binding models provide a conceptually transparent and computationally efficient method to represent the electronic properties of materials. With AFLOWπ we introduce a framework for high-throughput first principles calculations that automatically generates tight-binding hamiltonians without any additional input. Several additional features are included in AFLOWπ with the intent to simplify the self-consistent calculation of Hubbard U corrections, the calculations of phonon dispersions, elastic properties, complex dielectric constants, and electronic transport coefficients. As examples we show how to compute the optical properties of layered nitrides in the AMN2 family, and the elastic and vibrational properties of binary halides with CsCl and NaCl structure.

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Published In

Computational Materials Science

DOI

ISSN

0927-0256

Publication Date

August 1, 2017

Volume

136

Start / End Page

76 / 84

Related Subject Headings

  • Materials
  • 5104 Condensed matter physics
  • 4016 Materials engineering
  • 0912 Materials Engineering
  • 0205 Optical Physics
  • 0204 Condensed Matter Physics
 

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Supka, A. R., Lyons, T. E., Liyanage, L., D’Amico, P., Al Rahal Al Orabi, R., Mahatara, S., … Fornari, M. (2017). AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians. Computational Materials Science, 136, 76–84. https://doi.org/10.1016/j.commatsci.2017.03.055
Supka, A. R., T. E. Lyons, L. Liyanage, P. D’Amico, R. Al Rahal Al Orabi, S. Mahatara, P. Gopal, et al. “AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians.” Computational Materials Science 136 (August 1, 2017): 76–84. https://doi.org/10.1016/j.commatsci.2017.03.055.
Supka AR, Lyons TE, Liyanage L, D’Amico P, Al Rahal Al Orabi R, Mahatara S, et al. AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians. Computational Materials Science. 2017 Aug 1;136:76–84.
Supka, A. R., et al. “AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians.” Computational Materials Science, vol. 136, Aug. 2017, pp. 76–84. Scopus, doi:10.1016/j.commatsci.2017.03.055.
Supka AR, Lyons TE, Liyanage L, D’Amico P, Al Rahal Al Orabi R, Mahatara S, Gopal P, Toher C, Ceresoli D, Calzolari A, Curtarolo S, Nardelli MB, Fornari M. AFLOWπ: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians. Computational Materials Science. 2017 Aug 1;136:76–84.
Journal cover image

Published In

Computational Materials Science

DOI

ISSN

0927-0256

Publication Date

August 1, 2017

Volume

136

Start / End Page

76 / 84

Related Subject Headings

  • Materials
  • 5104 Condensed matter physics
  • 4016 Materials engineering
  • 0912 Materials Engineering
  • 0205 Optical Physics
  • 0204 Condensed Matter Physics