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Common workflows for computing material properties using different quantum engines

Sammendrag

The prediction of material properties based on density-functional theory has become routinely common, thanks, in part, to the steady increase in the number and robustness of available simulation packages. This plurality of codes and methods is both a boon and a burden. While providing great opportunities for cross-verification, these packages adopt different methods, algorithms, and paradigms, making it challenging to choose, master, and efficiently use them. We demonstrate how developing common interfaces for workflows that automatically compute material properties greatly simplifies interoperability and cross-verification. We introduce design rules for reusable, code-agnostic, workflow interfaces to compute well-defined material properties, which we implement for eleven quantum engines and use to compute various material properties. Each implementation encodes carefully selected simulation parameters and workflow logic, making the implementer’s expertise of the quantum engine directly available to non-experts. All workflows are made available as open-source and full reproducibility of the workflows is guaranteed through the use of the AiiDA infrastructure.
Les publikasjonen

Kategori

Vitenskapelig artikkel

Språk

Engelsk

Forfatter(e)

  • Sebastiaan P. Huber
  • Emanuele Bosoni
  • Marnik Bercx
  • Jens Bröder
  • Augustin Degomme
  • Vladimir Dikan
  • Kristjan Eimre
  • Espen Flage-Larsen
  • Alberto Garcia
  • Luigi Genovese
  • Dominik Gresch
  • Conrad Johnston
  • Guido Petretto
  • Samuel Poncé
  • Gian-Marco Rignanese
  • Christopher J. Sewell
  • Berend Smit
  • Vasily Tseplyaev
  • Martin Uhrin
  • Daniel Wortmann
  • Aliaksandr V. Yakutovich
  • Austin Zadoks
  • Pezhman Zarabadi-Poor
  • Bonan Zhu
  • Nicola Marzari
  • Giovanni Pizzi

Institusjon(er)

  • SINTEF Industri / Bærekraftig energiteknologi
  • Université catholique de Louvain
  • Université Grenoble Alpes
  • Institut de Ciència de Materials de Barcelona
  • Storbritannia og Nord-Irland
  • The Queen's University of Belfast
  • University College London
  • University of Bath
  • Sveits
  • Ecole Polytechnique Fédérale de Lausanne
  • RWTH Aachen University
  • Forschungszentrum Jülich
  • Universitetet i Oslo
  • University of California

År

2021

Publisert i

npj Computational Materials

Årgang

7

Hefte nr.

1

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