Low-Scaling GW with Benchmark Accuracy and Application to Phosphorene Nanosheets

Jan Wilhelm*, Patrick Seewald, Dorothea Golze

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
8 Downloads (Pure)


GW is an accurate method for computing electron addition and removal energies of molecules and solids. In a conventional GW implementation, however, its computational cost is O(N4) in the system size N, which prohibits its application to many systems of interest. We present a low-scaling GW algorithm with notably improved accuracy compared to our previous algorithm [J. Phys. Chem. Lett. 2018, 9, 306-312]. This is demonstrated for frontier orbitals using the GW100 benchmark set, for which our algorithm yields a mean absolute deviation of only 6 meV with respect to canonical implementations. We show that also excitations of deep valence, semicore, and unbound states match conventional schemes within 0.1 eV. The high accuracy is achieved by using minimax grids with 30 grid points and the resolution of the identity with the truncated Coulomb metric. We apply the low-scaling GW algorithm with improved accuracy to phosphorene nanosheets of increasing size. We find that their fundamental gap is strongly size-dependent varying from 4.0 eV (1.8 nm × 1.3 nm, 88 atoms) to 2.4 eV (6.9 nm × 4.8 nm, 990 atoms) at the evGW0@PBE level.

Original languageEnglish
Pages (from-to)1662–1677
JournalJournal of Chemical Theory and Computation
Issue number17
Publication statusPublished - 23 Feb 2021
MoE publication typeA1 Journal article-refereed


Dive into the research topics of 'Low-Scaling GW with Benchmark Accuracy and Application to Phosphorene Nanosheets'. Together they form a unique fingerprint.

Cite this