4.7 Article

The ONETEP linear-scaling density functional theory program

期刊

JOURNAL OF CHEMICAL PHYSICS
卷 152, 期 17, 页码 -

出版社

AMER INST PHYSICS
DOI: 10.1063/5.0004445

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资金

  1. UKCP consortium - EPSRC [EP/P022030/1]
  2. Materials Chemistry Consortium - EPSRC [EP/L000202/1, EP/R029431/1]
  3. EPSRC as part of the HPC Midlands+ consortium [EP/P020232/1]
  4. EPSRC [EP/P020194/1, EP/P02209X/1, EP/F010974/1, EP/P01139X/1, EP/G05567X/1, EP/J015059/1, EP/S025324/1, EP/J017639/1, EP/P034616/1, EP/G055904/1, EP/F032773/1, EP/R010153/1, EP/I004483/1, EP/P022189/1, EP/P022189/2]
  5. embedded CSE program of the ARCHER UK National Supercomputing Service [eCSE01004, eCSE07-006, eCSE08-15]
  6. Thomas Young Centre for Theory and Simulation of Materials [TYC101]
  7. St Edmund Hall, University of Oxford
  8. Centre for Doctoral Training in Theory and Simulation of Materials at Imperial College London - EPSRC [EP/G036888/1, EP/L015579/1]
  9. CSE program of the ARCHER UK National Supercomputing Service [eCSE02-15]
  10. Centre for Doctoral Training in Computational Methods for Materials Science at the University of Cambridge - EPSRC [EP/L015552/1]
  11. Cambridge Centre for Doctoral Training in Nanoscience and Nanotechnology - EPSRC [EP/G037221/1]
  12. Doctoral Training Centre of the Institute for Complex System Simulations - EPSRC [EP/G03690X/1]
  13. EPSRC
  14. Pacific Northwest National Laboratory (PNNL)
  15. Centre for Doctoral Training in Next Generation of Computational Modelling - EPSRC [EP/L015382/1]
  16. Faraday Institution [EP/S003053/1, FIRG003]
  17. EPSRC through the UKCP consortium [EP/F038038/1]
  18. Ministerio de Ciencia e Innovacion of Spain [MDM-2017-0767]
  19. Science Foundation Ireland (SFI) through AMBER (The Advanced Materials and Bioengineering Research Centre) [SFI/12/RC/2278, SFI/12/RC/2278_P2]
  20. European Regional Development Fund (ERDF)
  21. National University of Ireland
  22. Royal Irish Academy-Royal Society International Exchange Cost Share Programme [IE131505]
  23. BBSRC
  24. EPSRC [EP/F038038/1, EP/R029431/1, EP/P022189/2, EP/P034616/1, EP/G037221/1, EP/P02209X/1, EP/P022030/1, EP/I004483/1, EP/S003053/1, EP/P022065/1, EP/P020232/1, EP/R010153/1, EP/L000202/1, EP/G05567X/1, EP/S025324/1, EP/P022189/1, EP/P020194/1, EP/F010974/1, EP/J015059/1, EP/J017639/1] Funding Source: UKRI

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We present an overview of the onetep program for linear-scaling density functional theory (DFT) calculations with large basis set (plane-wave) accuracy on parallel computers. The DFT energy is computed from the density matrix, which is constructed from spatially localized orbitals we call Non-orthogonal Generalized Wannier Functions (NGWFs), expressed in terms of periodic sinc (psinc) functions. During the calculation, both the density matrix and the NGWFs are optimized with localization constraints. By taking advantage of localization, onetep is able to perform calculations including thousands of atoms with computational effort, which scales linearly with the number or atoms. The code has a large and diverse range of capabilities, explored in this paper, including different boundary conditions, various exchange-correlation functionals (with and without exact exchange), finite electronic temperature methods for metallic systems, methods for strongly correlated systems, molecular dynamics, vibrational calculations, time-dependent DFT, electronic transport, core loss spectroscopy, implicit solvation, quantum mechanical (QM)/molecular mechanical and QM-in-QM embedding, density of states calculations, distributed multipole analysis, and methods for partitioning charges and interactions between fragments. Calculations with onetep provide unique insights into large and complex systems that require an accurate atomic-level description, ranging from biomolecular to chemical, to materials, and to physical problems, as we show with a small selection of illustrative examples. onetep has always aimed to be at the cutting edge of method and software developments, and it serves as a platform for developing new methods of electronic structure simulation. We therefore conclude by describing some of the challenges and directions for its future developments and applications.

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