PAOFLOW: A utility to construct and operate on ab initio Hamiltonians from the Projections of electronic wavefunctions on Atomic Orbital bases (PAO), including characterization of topological materials

ORAL

Abstract

Rapid progression of computational technology during the past half century allows material sceintists to predict electronic and bulk properties of increasingly complex systems. PAOFLOW is a utility for the analysis and characterization of these properties from the output of any electronic structure calculation in Density Functional Theory (DFT). By exploiting an efficient procedure to project the full plane-wave solution of the original DFT Hamiltonian to a reduced space of atomic orbitals (Projection on Atomic Orbitals, or PAO) we can calculate a plethora of quantities with a negligible computational cost. This code, written entirely in Python under GPL 3.0 or later, opens the way to the high-throughput computational characterization of materials at an unprecedented scale.

Presenters

  • Frank Cerasoli

    Physics, Univ of North Texas

Authors

  • Frank Cerasoli

    Physics, Univ of North Texas

  • Marco Buongiorno Nardelli

    Physics, Univ of North Texas, Physics, University of North Texas, Univ North Texas

  • Marcio Costa

    Physics, Univ of North Texas, Physics, Instituto de Fisica, UFF, Brazilian Nanotechnology National Laboratory (LNNano), CNPEM

  • Stefano Curtarolo

    Material Science, Duke University, Duke University, Material Science, Electrical Engineering, Physics and Chemistry, Duke University

  • Riccardo De Gennaro

    Physics, University of Rome, Tor Vergata

  • Marco Fornari

    Physics, Central Michigan University

  • Laalitha Liyanage

    Physics, Univ of North Texas

  • Andrew Supka

    Physics, Central Michigan University

  • Haihang Wang

    Physics, Univ of North Texas