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Abstract
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 language | English |
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Pages (from-to) | 1662–1677 |
Number of pages | 16 |
Journal | Journal of Chemical Theory and Computation |
Volume | 17 |
Issue number | 3 |
DOIs | |
Publication status | Published - 9 Mar 2021 |
MoE publication type | A1 Journal article-refereed |
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Dive into the research topics of 'Low-Scaling GW with Benchmark Accuracy and Application to Phosphorene Nanosheets'. Together they form a unique fingerprint.Projects
- 1 Finished
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New frontiers in computational spectroscopy: Advancing the GW method for molecular core excitations
Golze, D. (Principal investigator)
01/09/2018 → 31/08/2021
Project: Academy of Finland: Other research funding