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Low-Scaling GW Algorithm Applied to Twisted Transition-Metal Dichalcogenide Heterobilayers.

Maximilian GramlKlaus ZollnerDaniel Hernangómez-PérezPaulo E Faria JuniorJan Wilhelm
Published in: Journal of chemical theory and computation (2024)
The GW method is widely used for calculating the electronic band structure of materials. The high computational cost of GW algorithms prohibits their application to many systems of interest. We present a periodic, low-scaling, and highly efficient GW algorithm that benefits from the locality of the Gaussian basis and the polarizability. The algorithm enables G 0 W 0 calculations on a MoSe 2 /WS 2 bilayer with 984 atoms per unit cell, in 42 h using 1536 cores. This is 4 orders of magnitude faster than a plane-wave G 0 W 0 algorithm, allowing for unprecedented computational studies of electronic excitations at the nanoscale.
Keyphrases
  • machine learning
  • deep learning
  • highly efficient
  • transition metal
  • neural network
  • molecular dynamics
  • cell therapy
  • stem cells
  • mesenchymal stem cells
  • density functional theory