Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session G72: Topological Multilayers
11:30 AM–2:30 PM,
Tuesday, March 15, 2022
Room: Hyatt Regency Hotel -Jackson Park D
Sponsoring
Units:
DMP GMAG DCMP
Chair: Xuanyuan Jian, University of Florida; Purnima Balakrishnan, National Institute of Standards and Tech
Abstract: G72.00002 : Charge transfer and absence of magnetic proximity effect in EuS(111)/Bi2Se3 heterostructures from ab initio calculations*
12:06 PM–12:18 PM
Presenter:
Damien Tristant
(Louisiana State University)
Authors:
Damien Tristant
(Louisiana State University)
Ilya Vekhter
(Louisiana State University)
Vincent Meunier
(Rensselaer Polytechnic Institute)
William A Shelton
(Louisiana State University)
To address this, we study the proximity effect in a periodic EuS(111)/Bi2Se3 heterostructure with Bi2Se3 containing seven quintuple layers (QLs), using density functional theory calculations that include both van der Waals and spin-orbit interactions. Our results show no appreciable magnetic anisotropy at the interface due to spin-orbit interactions. Even though the linear dispersion of the topological surface state (TSS) is gapless, a partial charge transfer from Eu to Se atoms occurs, leading to a 0.4 eV downshifting of the Dirac cone relative the Fermi energy. The associated electrostatic screening moves the TSS from the first to the second QL of the TI. Our analysis indicates no substantial magnetic proximity effect on the TSS. These results agree with recent experimental measurements. Lastly, we discuss the implications of our findings on the search for materials that enable robust magnetic proximity effect in topological heterostructures.
*D.T. and W.A.S. acknowledge support from the U.S. Department of Energy under EPSCoR Grant No. DE-SC0012432 with additional support from the Louisiana Board of Regents. I.V. acknowledges support from NSF Grant No. DMR 1410741. Part of this work was performed using supercomputing resources provided by the Center for Computation and Technology (CCT) at Louisiana State University.
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