Article (Scientific journals)
Optimizing the orbital occupation in the multiple minima problem of magnetic materials from the metaheuristic firefly algorithm
Payne, Adam; Avedano-Franco, Guillermo; He, Xu et al.
2019In Physical Chemistry Chemical Physics, 21, p. 21932
Peer Reviewed verified by ORBi
 

Files


Full Text
PhysChemChemPhys_21_p21932_2019_Firefly_orbital_occupatons_Aldo.pdf
Publisher postprint (4.58 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
metaheuristic Firefly algorithsm; orbital occupation; DFT
Abstract :
[en] We present the use and implementation of the firefly algorithm to help in scanning the multiple metastable minima of orbital occupations in density functional theory (DFT) plus Hubbard U correction and to identify the ground state occupations in strongly correlated materials. We show the application of this implementation with the Abinit code on KCoF3 and UO2 crystals, which are typical d and f electron systems with numerous occupation minima. We demonstrate the validity and performance of the method by comparing with previous methodologies. The method is general and can be applied to any code using constrained occupation matrices.
Research center :
QMAT, CESAM, PhyTheMa
Disciplines :
Physics
Author, co-author :
Payne, Adam;  West Virginia University
Avedano-Franco, Guillermo;  West Virginia University
He, Xu  ;  Université de Liège - ULiège > Physique > QMAT, CESAM, PhyTheMa
Bousquet, Eric  ;  Université de Liège - ULiège > Département de physique > Physique théorique des matériaux
Romero, Aldo H.;  West Virginia University
Language :
English
Title :
Optimizing the orbital occupation in the multiple minima problem of magnetic materials from the metaheuristic firefly algorithm
Publication date :
2019
Journal title :
Physical Chemistry Chemical Physics
ISSN :
1463-9076
eISSN :
1463-9084
Publisher :
Royal Society of Chemistry, United Kingdom
Volume :
21
Pages :
21932
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
Tier-1 supercomputer
CÉCI : Consortium des Équipements de Calcul Intensif
Name of the research project :
ARC AIMED
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
FWB - Fédération Wallonie-Bruxelles [BE]
Walloon region [BE]
Funding number :
CECI facilities (Grant No. 2.5020.1); Walloon Region (Grant No. 1117545)
Available on ORBi :
since 05 December 2019

Statistics


Number of views
39 (2 by ULiège)
Number of downloads
2 (2 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
2
OpenCitations
 
2

Bibliography


Similar publications



Contact ORBi