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 2016-2026 - Marco BUONGIORNO NARDELLI (mbn@unt.edu) and the PAOFLOW Development team

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/.

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

For installation instructions, see the INSTALL.md 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).

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-2.9.0.tar.gz (335.2 kB view details)

Uploaded Source

Built Distribution

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

paoflow-2.9.0-py3-none-any.whl (388.4 kB view details)

Uploaded Python 3

File details

Details for the file paoflow-2.9.0.tar.gz.

File metadata

  • Download URL: paoflow-2.9.0.tar.gz
  • Upload date:
  • Size: 335.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for paoflow-2.9.0.tar.gz
Algorithm Hash digest
SHA256 eda747162740a7e7f4a14ad2f6c2e60dc73c6aad73d9727ae3496ebc4fb14cb2
MD5 d2f384a2834cc9ef697ca1f0806f9ba7
BLAKE2b-256 abdd0fa4f8f5e85bf3987deebd58185b08c71c211078d70da6a842b7c8c48989

See more details on using hashes here.

File details

Details for the file paoflow-2.9.0-py3-none-any.whl.

File metadata

  • Download URL: paoflow-2.9.0-py3-none-any.whl
  • Upload date:
  • Size: 388.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.2

File hashes

Hashes for paoflow-2.9.0-py3-none-any.whl
Algorithm Hash digest
SHA256 716d13f2d8baa591c12289a58d3936e521dbe61bd48f9a03ca342220b6a6ac15
MD5 1b8fc8ed1b26e16c0e8ac7394eea8113
BLAKE2b-256 ee7d69dae204ede43db3d53c14fff01b679d2ebcf8b77176aeb8f1c46ba0fd86

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