Stochastic GW calculations for molecules
Vojtech Vlcek, Eran Rabani, Daniel Neuhauser, Roi Baer

TL;DR
This paper demonstrates that the stochastic GW (sGW) method provides highly accurate quasiparticle energies for molecules, with near-linear computational scaling, enabling calculations on much larger systems than traditional GW methods.
Contribution
The paper validates the accuracy of the sGW approach for molecules and details its theoretical foundation and implementation, expanding its applicability for large-scale systems.
Findings
sGW achieves close agreement with deterministic GW for ionization energies
Mean absolute deviation of 0.05-0.09 eV from benchmark GW results
sGW scales nearly linearly with system size, enabling large system calculations
Abstract
Quasiparticle (QP) excitations are extremely important for understanding and predicting charge transfer and transport in molecules, nanostructures and extended systems. Since density functional theory (DFT) within the Kohn-Sham (KS) formulation does not provide reliable QP energies, many-body perturbation techniques such as the GW approximation are essential. The main practical drawback of GW implementations is the high computational scaling with system size, prohibiting its use in extended, open boundary systems with many dozens of electrons or more. Recently, a stochastic formulation of GW (sGW) was presented [Phys. Rev. Lett. 113, 076402 (2014)] with a near-linear-scaling complexity, illustrated for a series of silicon nanocrystals reaching systems of more than 3000 electrons. This advance provides a route for many-body calculations on very larges systems that were impossible with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Chemical Physics Studies · Quantum and electron transport phenomena · Molecular Junctions and Nanostructures
