Skip to main content

Utility to construct and operate on Hamiltonians from the Projections of DFT wfc on Atomic Orbital bases (PAO)

Project description

PAOFLOW

Utility to construct and operate on Hamiltonians from the Projections of DFT wfc on Atomic Orbital bases (PAO)

Copyright 2016-2024 - Marco BUONGIORNO NARDELLI (mbn@unt.edu)

PAOFLOW is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.

PAOFLOW's capabilities:

  • Construction of PAO Hamiltonians from the DFT wavefunctions onto pseudo atomic orbitals
  • Construction of PAO Hamiltonians from analytical tight binding models
  • Hamiltonian data for further processing (ACBN0, PAOtransport, etc.)
  • Calculation of the Hubbard-U parameter through the ACBN0 method
  • External fields and non scf ACBN0 correction
  • Spin orbit correction of non SO calculations
  • Bands along standard paths in the BZ
  • Real space electronic charge density
  • Interpolation of Hamiltonians on arbitrary Monkhorst and Pack k-meshes
  • Adaptive smearing for BZ and Fermi surface integration
  • Density of states (and projected DOS)
  • Fermi surfaces and spin textures
  • Boltzmann transport (conductivity, Seebeck coefficient, electronic contribution to thermal conductivity
  • dielectric function (absorption coefficients and EELS)
  • Berry curvature and anomalous Hall conductivity (including magnetic circular dichroism spectra)
  • spin Berry curvature and spin Hall conductivity (including spin circular dichroism spectra)
  • Band topology (Z2 invariants, Berry and spin Berry curvature along standard paths in BZ, critical points

Example code for PAOFLOW is available on GitHub: https://github.com/marcobn/PAOFLOW/examples/

For installation instructions, see the INSTALL file.

Use of PAOFLOW should reference:

F.T. Cerasoli, A.R. Supka, A. Jayaraj, I. Siloi, M. Costa, J. Slawinska, S. Curtarolo, M. Fornari, D. Ceresoli, and M. Buongiorno Nardelli, Advanced modeling of materials with PAOFLOW 2.0: New features and software design, Comp. Mat. Sci. 200, 110828 (2021).

M. Buongiorno Nardelli, F. T. Cerasoli, M. Costa, S Curtarolo,R. De Gennaro, M. Fornari, L. Liyanage, A. Supka and H. Wang, PAOFLOW: A utility to construct and operate on ab initio Hamiltonians from the Projections of electronic wavefunctions on Atomic Orbital bases, including characterization of topological materials, Comp. Mat. Sci. vol. 143, 462 (2018).

PAOFLOW is integrated in AFLOW𝛑:

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, AFLOW𝛑: A minimalist approach to high-throughput ab initio calculations including the generation of tight-binding hamiltonians, Computational Materials Science, 136 (2017) 76-84. doi:10.1016/j.commatsci.2017.03.055 also at www.aflow.org/src/aflowpi

Contributions to PAOFLOW were made by the following developers: Frank Cerasoli, Andrew Supka, Marcio Costa, Laalitha Liyanage, Haihang Wang, Anooja Jayaraj, Jagoda Slawinska, Priya Gopal, Ilaria Siloi

Other references:

Luis A. Agapito, Andrea Ferretti, Arrigo Calzolari, Stefano Curtarolo and Marco Buongiorno Nardelli, Effective and accurate representation of extended Bloch states on finite Hilbert spaces, Phys. Rev. B 88, 165127 (2013).

Luis A. Agapito, Sohrab Ismail-Beigi, Stefano Curtarolo, Marco Fornari and Marco Buongiorno Nardelli, Accurate Tight-Binding Hamiltonian Matrices from Ab-Initio Calculations: Minimal Basis Sets, Phys. Rev. B 93, 035104 (2016).

Luis A. Agapito, Marco Fornari, Davide Ceresoli, Andrea Ferretti, Stefano Curtarolo and Marco Buongiorno Nardelli, Accurate Tight-Binding Hamiltonians for 2D and Layered Materials, Phys. Rev. B 93, 125137 (2016).

Pino D'Amico, Luis Agapito, Alessandra Catellani, Alice Ruini, Stefano Curtarolo, Marco Fornari, Marco Buongiorno Nardelli, and Arrigo Calzolari, Accurate ab initio tight-binding Hamiltonians: Effective tools for electronic transport and optical spectroscopy from first principles, Phys. Rev. B 94 165166 (2016).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

paoflow-2.1.1.tar.gz (124.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

PAOFLOW-2.1.1-py3-none-any.whl (184.0 kB view details)

Uploaded Python 3

File details

Details for the file paoflow-2.1.1.tar.gz.

File metadata

  • Download URL: paoflow-2.1.1.tar.gz
  • Upload date:
  • Size: 124.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.10

File hashes

Hashes for paoflow-2.1.1.tar.gz
Algorithm Hash digest
SHA256 17f793178ad6d5f98e8a55f85e753f0101d1f527b04087c5a4c21618737bae02
MD5 5bb2b05b9b7359add58c82c523ce8535
BLAKE2b-256 892fd62fdbba3d2598f2549a01226716f959d565976c6b06c0ea1059c7d67305

See more details on using hashes here.

File details

Details for the file PAOFLOW-2.1.1-py3-none-any.whl.

File metadata

  • Download URL: PAOFLOW-2.1.1-py3-none-any.whl
  • Upload date:
  • Size: 184.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.10

File hashes

Hashes for PAOFLOW-2.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 144b97b102ac4d1beb3943626230be3c953d326196717ef3a1c32b4118630ece
MD5 c7a159c1908268cd819fd9ec32cd22c5
BLAKE2b-256 097ada3ee524de2465c1cd24bdcae4edfef620b679ad2d7a42973a3ce373e4d9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page