Toward GW Calculations on Thousands of Atoms
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<dc:creator>Wilhelm, Jan</dc:creator>
<dc:creator>Golze, Dorothea</dc:creator>
<dc:creator>Talirz, Leopold</dc:creator>
<dc:creator>Hutter, Jürg</dc:creator>
<dc:creator>Pignedoli, Carlo Antonio</dc:creator>
<dc:date>2018-09-28</dc:date>
<dc:description>We provide the input files needed to reproduce the results of the article
Toward GW Calculations on Thousands of Atoms
J. Wilhelm, D. Golze, L. Talirz, J. Hutter, C. A. Pignedoli
J. Phys. Chem. Lett. 9, 306–312 (2018) DOI:10.1021/acs.jpclett.7b02740
The GW approximation of many-body perturbation theory is an accurate method
for computing electron addition and removal energies of molecules and solids.
In a canonical implementation, however, its computational cost is in the
system size N, which prohibits its application to many systems of interest.
We present a full-frequency GW algorithm in a Gaussian-type basis,
whose computational cost scales with N2 to N3.
The implementation is optimized for massively parallel execution on
state-of-the-art supercomputers and is suitable for nanostructures and molecules in the gas,
liquid or condensed phase, using either pseudopotentials or all electrons.
We validate the accuracy of the algorithm on the GW100 molecular test set,
finding mean absolute deviations of 35 meV for ionization potentials and 27 meV
for electron affinities. Furthermore, we study the length-dependence of quasiparticle
energies in armchair graphene nanoribbons of up to 1734 atoms in size, and compute the
local density of states across a nanoscale heterojunction.</dc:description>
<dc:identifier>https://archive.materialscloud.org/record/2018.0015/v1</dc:identifier>
<dc:identifier>doi:10.24435/materialscloud:2018.0015/v1</dc:identifier>
<dc:identifier>mcid:2018.0015/v1</dc:identifier>
<dc:identifier>oai:materialscloud.org:58</dc:identifier>
<dc:language>en</dc:language>
<dc:publisher>Materials Cloud</dc:publisher>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:rights>Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
<dc:subject>DFT</dc:subject>
<dc:subject>MARVEL</dc:subject>
<dc:subject>GW</dc:subject>
<dc:subject>abinitio</dc:subject>
<dc:subject>graphene</dc:subject>
<dc:subject>nanoribbon</dc:subject>
<dc:subject>scaling</dc:subject>
<dc:subject>high performance computing</dc:subject>
<dc:subject>CP2K</dc:subject>
<dc:title>Toward GW Calculations on Thousands of Atoms</dc:title>
<dc:type>Dataset</dc:type>
</oai_dc:dc>