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20112025
most citedTwo-dimensional materials from high-throughput computational exfoliation of experimentally known compounds

1.9k citations · 7.6k across the 37 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cond-mat.mtrl-sci2023★ 27 cited

The Wannier Function Software Ecosystem for Materials Simulations

Antimo Marrazzo, Sophie Beck, Elena R. Margine +7

Over the last two decades, following the early developments on maximally localized Wannier functions, an ecosystem of electronic-structure simulation techniques and software packag…

physics.comp-ph2023★ 18 cited

Automated mixing of maximally localized Wannier functions into target manifolds

Junfeng Qiao, Giovanni Pizzi, Nicola Marzari

Maximally localized Wannier functions (MLWFs) are widely used to construct first-principles tight-binding models that accurately reproduce the electronic structure of materials. Re…

cond-mat.mtrl-sci2023★ 87 cited

How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

Emanuele Bosoni, Louis Beal, Marnik Bercx +42

In the past decades many density-functional theory methods and codes adopting periodic boundary conditions have been developed and are now extensively used in condensed matter phys…

cond-mat.str-el2023★ 9 cited

Magnetostriction-Driven Muon Localization in an Antiferromagnetic Oxide

Pietro Bonfà, Ifeanyi John Onuorah, Franz Lang +9

Magnetostriction drives a rhombohedral distortion in the cubic rock salt antiferromagnet MnO at the Néel temperature K. As an unexpected consequence we show that this d…

physics.comp-ph2023★ 25 cited

Projectability disentanglement for accurate and automated electronic-structure Hamiltonians

Junfeng Qiao, Giovanni Pizzi, Nicola Marzari

Maximally-localized Wannier functions (MLWFs) are a powerful and broadly used tool to characterize the electronic structure of materials, from chemical bonding to dielectric respon…

cond-mat.mtrl-sci2023★ 19 cited

Towards high-throughput many-body perturbation theory: efficient algorithms and automated workflows

Miki Bonacci, Junfeng Qiao, Nicola Spallanzani +6

The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with desired p…