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  Small basis set density functional theory method for cost-efficient, large-scale condensed matter simulations

Keller, E., Morgenstein, J., Reuter, K., & Margraf, J. (2024). Small basis set density functional theory method for cost-efficient, large-scale condensed matter simulations. The Journal of Chemical Physics, 161(7): 074104. doi:10.26434/chemrxiv-2024-x59gl.

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 Creators:
Keller, Elisabeth1, Author                 
Morgenstein, Jack, Author
Reuter, Karsten1, Author                 
Margraf, Johannes1, Author                 
Affiliations:
1Theory, Fritz Haber Institute, Max Planck Society, ou_634547              

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 Abstract: We present an efficient first-principles based method geared towards reliably predicting the structures of solid materials across the periodic table. To this end, we use a density functional theory (DFT) baseline with a compact, near-minimal min+s basis set, yielding low computational costs and memory demands. Since the use of such small basis set leads to systematic errors in chemical bond lengths, we develop a linear pairwise correction (LPC), available for elements Z = 1-86 (excluding the lanthanide series), parameterized for use with the PBE exchange-correlation functional. We demonstrate the reliability of this corrected approach for equilibrium volumes across the periodic table and the transferability to differently coordinated environments and multi-elemental crystals. We examine relative energies, forces and stresses in geometry optimizations and MD simulations.

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Language(s): eng - English
 Dates: 2024-06-202024-06-092024-07-302024-08-152024-08
 Publication Status: Issued
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: The Journal of Chemical Physics
  Abbreviation : J. Chem. Phys.
Source Genre: Journal
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Publ. Info: Woodbury, N.Y. : American Institute of Physics
Pages: 10 Volume / Issue: 161 (7) Sequence Number: 074104 Start / End Page: - Identifier: ISSN: 0021-9606
CoNE: https://pure.mpg.de/cone/journals/resource/954922836226