Low-scaling GW algorithm applied to twisted transition-metal dichalcogenide heterobilayers
Maximilian Graml, Klaus Zollner, Daniel Hernang\'omez-P\'erez, Paulo, E. Faria Junior, and Jan Wilhelm

TL;DR
This paper introduces a low-scaling, efficient GW algorithm that leverages locality to enable large-scale electronic structure calculations on complex twisted transition-metal dichalcogenide heterobilayers, significantly reducing computational time.
Contribution
The authors develop a periodic, low-scaling GW algorithm that drastically reduces computational cost, enabling calculations on systems with nearly 1000 atoms per unit cell.
Findings
Achieved G0W0 calculations on a 984-atom bilayer in 42 hours using 1536 cores.
The new algorithm is four orders of magnitude faster than traditional plane-wave methods.
Enables unprecedented computational studies of electronic excitations in large nanoscale systems.
Abstract
The method is widely used for calculating the electronic band structure of materials. The high computational cost of algorithms prohibits their application to many systems of interest. We present a periodic, low-scaling and highly efficient algorithm that benefits from the locality of the Gaussian basis and the polarizability. The algorithm enables calculations on a MoSe/WS bilayer with 984 atoms per unit cell, in 42 hours using 1536 cores. This is four orders of magnitude faster than a plane-wave algorithm, allowing for unprecedented computational studies of electronic excitations at the nanoscale.
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Taxonomy
Topics2D Materials and Applications · Machine Learning in Materials Science · Chalcogenide Semiconductor Thin Films
