AFLOW: An Automatic Framework for High-throughput Materials Discovery

Abstract

Recent advances in computational materials science present novel opportunities for structure discovery and optimization including uncovering of unsuspected compounds and metastable structures, electronic structure, surface and nano-particle properties. The practical realization of these opportunities requires systematic generation and classification of the relevant computational data by high-throughput methods. In this paper we present AFLOW (Automatic Flow), a software framework for high-throughput calculation of crystal structure properties of alloys, intermetallics and inorganic compounds. The AFLOW software is available for the scientific community on the website of the materials research consortium, aflowlib.org. Its geometric and electronic structure analysis and manipulation tools are additionally available for online operation at the same website. The combination of automatic methods and user online interfaces provide a powerful tool for efficient quantum computational materials discovery and characterization.

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Document Details

Document Type
Technical Report
Publication Date
Nov 14, 2011
Accession Number
ADA556917

Entities

People

  • Gus L. Hart
  • Junkai Xue
  • Kesong Yang
  • Michal Jahnatek
  • Ohad Levy
  • Richard H. Taylor
  • Roman V. Chepulskii
  • Shidong Wang
  • Stefano Curtarolo
  • Wahyu Setyawan

Organizations

  • Duke University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Band Gaps
  • Band Structures
  • Brillouin Zones
  • Computational Chemistry Methods
  • Crystal Lattices
  • Crystal Structure
  • Crystallography
  • Crystals
  • Density Functional Theory
  • Energy Bands
  • Engineering
  • First Principles Calculations
  • Materials
  • Materials Laboratories
  • Materials Science
  • Particles
  • Solid State Physics

Readers

  • Database Systems and Applications
  • Nanocomposite Materials Science
  • Neural Network Machine Learning.

Technology Areas

  • Microelectronics
  • Quantum Computing