Solving multi-pole challenges in the GW100 benchmark enables precise low-scaling GW calculations
Mia Schambeck, Dorothea Golze, Jan Wilhelm

TL;DR
This paper improves low-scaling GW calculations by incorporating eigenvalue self-consistency, enabling highly accurate quasiparticle energies for challenging molecules in the GW100 benchmark.
Contribution
Introducing eigenvalue self-consistency in low-scaling GW algorithms to accurately resolve multi-pole spectral features in challenging molecules.
Findings
Low-scaling GW with self-consistency achieves 12 meV MAE for five difficult molecules.
Eigenvalue self-consistency separates satellite and quasiparticle peaks effectively.
Method aligns closely with reference calculations, improving precision in complex systems.
Abstract
The approximation is a widely used method for computing electron addition and removal energies of molecules and solids. The computational effort of conventional algorithms increases as with the system size , hindering the application of to large and complex systems. Low-scaling algorithms are currently very actively developed. Benchmark studies at the single-shot level indicate excellent numerical precision for frontier quasiparticle energies, with mean absolute deviations meV between low-scaling and standard implementations for the widely used test set. A notable challenge for low-scaling algorithms remains in achieving high precision for five molecules within the test set, namely O, BeO, MgO, BN, and CuCN, for which the deviations are in the range of several hundred meV at the level. This is due to a…
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Taxonomy
TopicsParticle accelerators and beam dynamics · Magnetic confinement fusion research · Particle Accelerators and Free-Electron Lasers
