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dc.date.accessioned 2021-09-08T13:02:13Z
dc.date.available 2021-09-08T13:02:13Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/124367
dc.description.abstract In this paper, it is presented a novel strategy to optimize the determination of magnetic couplings by using ab initio calculations of the energy. This approach allows determining efficiently, in terms of a proposed effective magnetic spin model, an optimal set of magnetic configurations to be simulated by DFT methods. Moreover, a procedure to estimate the values of the coupling constants and their error bounds from the estimated energies is proposed. This method, based on Monte Carlo sampling, takes into account the accuracy of the ab-initio simulations. A strategy to refine models reusing previously computed configuration energies is also presented. We apply the method to determine a magnetic model for the recently synthesized material Bi₃ Mn₄ O₁₂ (NO₃ ). Finally, an open source software that implements and automatizes the whole process is presented. en
dc.language en es
dc.subject Quantum magnetism es
dc.subject Correlated electrons es
dc.subject Material science es
dc.subject Ab-initio calculations es
dc.subject DFT es
dc.title Optimizing configurations for determining the magnetic model based on ab-initio calculations en
dc.type Articulo es
sedici.identifier.other arXiv:1907.03376 es
sedici.identifier.other doi:10.1016/j.commatsci.2020.109628 es
sedici.identifier.issn 0927-0256 es
sedici.creator.person Matera, Juan Mauricio es
sedici.creator.person Errico, Leonardo A. es
sedici.creator.person Gil Rebaza, Arles Víctor es
sedici.creator.person Fernández, Victoria Inés es
sedici.creator.person Lamas, Carlos Alberto es
sedici.subject.materias Física es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Física La Plata es
mods.originInfo.place Facultad de Ingeniería es
sedici.subtype Preprint es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Computational Materials Science es
sedici.relation.journalVolumeAndIssue vol. 178 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)