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Data · dataset · 2025

Dataset of self-consistent Hubbard parameters for Ni, Mn and Fe from linear-response

Listed in Materials Cloud Archive

Density-functional theory with extended Hubbard functionals (DFT+U+V) provides a robust framework to accurately describe complex materials containing transition-metal or rare-earth elements.

Description

It does so by mitigating self-interaction errors inherent to semi-local functionals which are particularly pronounced in systems with partially-filled d and f electronic states. However, achieving accuracy in this approach hinges upon the accurate determination of the on-site U and inter-site V Hubbard parameters.

In practice, these are obtained either by semi-empirical tuning, requiring prior knowledge, or, more correctly, by using predictive but expensive first-principles calculations. This archive entry contains Hubbard parameters, occupation matrices and other data calculated for 28 materials and covers all steps in a self-consistent procedure where, at each step new Hubbard parameters are obtained via linear-response, a process that is repeated until the parameters no longer change.

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The primary purpose of this dataset is to support the development and validation of machine learning models that can be used to predict Hubbard parameters, sidestepping the need for expensive ab-initio density functional perturbation theory calculations.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
Materials Cloud Archive3tcgv-42e202 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0
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concepts[field].local:field:computer-science-aimapping · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0
concepts[method].local:method:dftmapping · archive materialscloud orgvocabulary-mapper@1.0.0keywords['density-functional theory']
concepts[topic].invenio_subject:archive_materialscloud_org:density-functional-theorysource · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0
concepts[topic].invenio_subject:archive_materialscloud_org:hubbard-correctionssource · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0
concepts[topic].invenio_subject:archive_materialscloud_org:machine-learningsource · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0
concepts[topic].invenio_subject:archive_materialscloud_org:marvelsource · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0
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updated_datesource · archive materialscloud orgconnector:archive_materialscloud_org@1.0.0