<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"> <dc:creator>Ponet, Louis</dc:creator> <dc:creator>Di Lucente, Enrico</dc:creator> <dc:creator>Marzari, Nicola</dc:creator> <dc:date>2024-05-23</dc:date> <dc:description>Magnetic materials can display many solutions to the electronic-structure problem, corresponding to different local or global minima of the energy functional. In Hartree-Fock or density-functional theory different single-determinant solutions lead to different magnetizations, ionic oxidation states, hybridizations, and inter-site magnetic couplings. The vast majority of these states can be fingerprinted through their projection on the atomic orbitals of the magnetic ions. We have devised an approach that provides an effective control over these occupation matrices, allowing us to systematically explore the landscape of the potential energy surface. We showcase the emergence of a complex zoology of self-consistent states; even more so when semi-local density-functional theory is augmented - and typically made more accurate - by Hubbard corrections. Such extensive explorations allow to robustly identify the ground state of magnetic systems, and to assess the accuracy (or not) of current functionals and approximations</dc:description> <dc:identifier>https://archive.materialscloud.org/record/2024.76</dc:identifier> <dc:identifier>doi:10.24435/materialscloud:14-b3</dc:identifier> <dc:identifier>mcid:2024.76</dc:identifier> <dc:identifier>oai:materialscloud.org:2151</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>high-throughput</dc:subject> <dc:subject>density-functional theory</dc:subject> <dc:subject>OpenModel</dc:subject> <dc:subject>MARVEL</dc:subject> <dc:title>The energy landscape of magnetic materials</dc:title> <dc:type>Dataset</dc:type> </oai_dc:dc>