[en] Tuning the half-metallicity of low-dimensional materials thanks to an electric field is particularly
appealing for spintronic applications but typically requires ultra-high field hampering practical applications. Interface engineering has been suggested as an alternative practical mean to overcome this limitation and control the metal-to-half-metal transition. Here, we show from first-principles calculations that the polarization switching at the interface of semi-hydrogenated graphene (i.e., graphone) and ferroelectric PbTiO3 layer can reversibly tune a metal to half-metal transition in graphone. Using a simple Hubbard model, this is rationalized from interface atomic orbital hybridization, which also reveals as the origin of the high-quality screening of metallic graphone, preserving bulk-like stable ferroelectric polarization in the PbTiO3 film down to a thickness of two unit cells. These findings do not only open a new perspective to engineer half-metallicity at the interface of two-dimensional materials and ferroelectrics, but also identifies graphone as a powerful atomically thin electrode, which hold great promise to design ultrafast and high integration density information-storage devices.
Ghosez, Philippe ; Université de Liège - ULiège > Département de physique > Physique théorique des matériaux
Language :
English
Title :
Switchable metal-to-half-metal transition at the semi-hydrogenated graphene/ferroelectric interface
Publication date :
11 February 2020
Journal title :
Nanoscale
ISSN :
2040-3364
eISSN :
2040-3372
Publisher :
Royal Society of Chemistry, United Kingdom
Volume :
12
Pages :
5067
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif Tier-1 supercomputer
Funding text :
This work was financially supported by the National Natural
Science Foundation of China (Grant No. 11672264 and
11972320), Zhejiang Provincial Natural Science Foundation
(Grant No. LZ17A020001), FRS-FNRS PDR project HiT4FiT and
ARC AIMED. Y. J. Z. acknowledges financial support from FRIA
(grants 1.E.122.18.). Computational support from Ceci funded
by FRS-FNRS (Grant No. 2.5020.1) and Tier-1 supercomputer of
the Federation Wallonie Bruxelles funded by the Walloon
Region (Grant No. 1117545).
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