Accelerating Core-Level GW Calculations by Combining the Contour Deformation Approach with the Analytic Continuation of W
In recent years, the method has emerged as a reliable tool for computing core-level binding energies. The contour deformation (CD) technique has been established as an efficient, scalable, and numerically stable approach to compute the self-energy for deep core excitations. However, core-level calcu...
Gespeichert in:
| Veröffentlicht in: | Journal of chemical theory and computation Jg. 19; H. 16; S. 5450 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
22.08.2023
|
| ISSN: | 1549-9626, 1549-9626 |
| Online-Zugang: | Weitere Angaben |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Zusammenfassung: | In recent years, the
method has emerged as a reliable tool for computing core-level binding energies. The contour deformation (CD) technique has been established as an efficient, scalable, and numerically stable approach to compute the
self-energy for deep core excitations. However, core-level
calculations with CD face the challenge of higher scaling with respect to system size
compared to the conventional quartic scaling in valence-state algorithms. In this work, we present the CD-WAC method [CD with
analytic continuation (AC)], which reduces the scaling of CD applied to the inner shells from O(N
) to O(N
) by employing an AC of the screened Coulomb interaction
. Our proposed method retains the numerical accuracy of CD for the computationally challenging deep core case, yielding mean absolute errors <5 meV for well-established benchmark sets, such as CORE65, for single-shot
calculations. More extensive testing for different
flavors proves the reliability of the method. We have confirmed the theoretical scaling by performing scaling experiments on large acene chains and amorphous carbon clusters, achieving speedups of up to 10× for structures of only 116 atoms. This improvement in computational efficiency paves the way for more accurate and efficient core-level
calculations on larger and more complex systems. |
|---|---|
| Bibliographie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1549-9626 1549-9626 |
| DOI: | 10.1021/acs.jctc.3c00555 |