# AFLOW$\pi$: A minimalist approach to high-throughput ab initio   calculations including the generation of tight-binding hamiltonians

**Authors:** A. R. Supka, T. E. Lyons, L. Liyanage, P. D'Amico, R. Al Rahal Al, Orabi, S. Mahatara, P. Gopal, C. Toher, D. Ceresoli, A. Calzolari, S., Curtarolo, M. Buongiorno Nardelli, and M. Fornari

arXiv: 1701.06921 · 2017-01-25

## TL;DR

AFLOWπ is a streamlined framework for high-throughput ab initio calculations that automatically generates tight-binding Hamiltonians and simplifies complex property computations.

## Contribution

It introduces AFLOWπ, a minimalist tool that automates tight-binding Hamiltonian generation and integrates various advanced material property calculations.

## Key findings

- Automated generation of tight-binding Hamiltonians from first principles.
- Successful computation of optical, elastic, and vibrational properties for various materials.
- Simplified workflow for complex electronic and phononic property calculations.

## Abstract

Tight-binding models provide a conceptually transparent and computationally efficient method to represent the electronic properties of materials. With AFLOW$\pi$ 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 AFLOW$\pi$ 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 $AM$N$_2$ family, and the elastic and vibrational properties of binary halides with CsCl and NaCl structure.

## Full text

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## Figures

16 figures with captions in the complete paper: https://tomesphere.com/paper/1701.06921/full.md

## References

55 references — full list in the complete paper: https://tomesphere.com/paper/1701.06921/full.md

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Source: https://tomesphere.com/paper/1701.06921