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

We present an efficient first-principles based method geared toward reliably predicting the structures of solid materials across the Periodic Table. To this end, we use a density functional theory baseline with a compact, near-minimal min+s basis set, yielding low computational costs and memory demands. Since the use of such a small basis set leads to systematic errors in chemical bond lengths, we develop a linear pairwise correction, available for elements Z = 1-86 (excluding the lanthanide series), parameterized for use with the Perdew-Burke-Ernzerhof 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 molecular dynamics simulations.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2024-08-15
DOI
https://doi.org/10.1063/5.0222649
Citations
2
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.23

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article

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

Karsten Reuter, Johannes T. Margraf, Elisabeth Keller, Jack Morgenstein
2 citations
The Journal of Chemical Physics
Machine Learning in Materials Science
0.23
article

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

Karsten Reuter, Johannes T. Margraf, Elisabeth Keller, Jack Morgenstein
article en
2 citations

Abstract

We present an efficient first-principles based method geared toward reliably predicting the structures of solid materials across the Periodic Table. To this end, we use a density functional theory baseline with a compact, near-minimal min+s basis set, yielding low computational costs and memory demands. Since the use of such a small basis set leads to systematic errors in chemical bond lengths, we develop a linear pairwise correction, available for elements Z = 1-86 (excluding the lanthanide series), parameterized for use with the Perdew-Burke-Ernzerhof 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 molecular dynamics simulations.

The Journal of Chemical PhysicsVol. 161(7)
Duke University (US), Fritz Haber Institute of the Max Planck Society (DE), University of Bayreuth (DE)
International Max Planck Research School for Advanced Methods in Process and Systems Engineering
Openalex Percentile: Top 52%
Machine Learning in Materials Science
0.23
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