Electronic and magnetic characterization of epitaxial VSe2 monolayers on superconducting NbSe2

Shawulienu Kezilebieke, Md Nurul Huda, Paul Dreher, Ilkka Manninen, Yifan Zhou, Jani Sainio, Rhodri Mansell, Miguel M. Ugeda, Sebastiaan van Dijken, Hannu Pekka Komsa, Peter Liljeroth

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

There has been enormous recent interest in heterostructures of two-dimensional van der Waals materials. Integrating materials with different quantum ground states in vertical heterostructures is predicted to lead to novel electronic properties that are not found in the constituent layers. Here, we present direct synthesis of a superconductor-magnet hybrid heterostructure by combining superconducting niobium diselenide (NbSe2) with the monolayer vanadium diselenide (VSe2). Molecular-beam epitaxy growth in ultra-high vacuum yields clean and atomically sharp interfaces. Combining different characterization techniques and density-functional theory calculations, we investigate the electronic and magnetic properties of VSe2 on NbSe2. Low temperature scanning tunneling microscopy measurements show an absence of the typical charge density wave on VSe2 and demonstrate a reduction of the superconducting gap of NbSe2 on the VSe2 layer. This suggests magnetization of the VSe2 sheet, at least on the local scale. Our work demonstrates superconducting-magnetic hybrid materials with potential applications in future electronics devices.

Original languageEnglish
Article number116
JournalCommunications Physics
Volume3
Issue number1
DOIs
StatePublished - Dec 1 2020
Externally publishedYes

Funding

This research made use of the Aalto Nanomicroscopy Center (Aalto NMC) facilities and was supported by the European Research Council (ERC-2017-AdG no. 788185 “Artificial Designer Materials”) and Academy of Finland (Academy professor funding no. 318995 and 320555, Academy postdoctoral researcher no. 309975, and Academy research fellow no. 311058). Our DFT calculations were performed using computer resources within the Aalto University School of Science “Science-IT” project and the Finnish CSC-IT Center for Science. M.M.U. acknowledges support by the Spanish MINECO under grant no. MAT2017-82074-ERC and by the ERC Starting grant LINKSPM (Grant 758558).

FundersFunder number
ERC-2017-AdG
Horizon 2020 Framework Programme758558
H2020 European Research Council788185
European Research Council
Academy of Finland311058, 318995, 320555, 309975
Ministerio de Economía y CompetitividadMAT2017-82074-ERC

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