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Prospect for detecting magnetism of a single impurity atom using electron magnetic chiral dichroism
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Materials Theory. Max Planck Inst Solid State Res, Stuttgart Ctr Electron Microscopy, Heisenbergstr 1, D-70569 Stuttgart, Germany.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Materials Theory.ORCID iD: 0000-0002-7018-244X
CRANN, Adv Microscopy Lab, Dublin 2, Ireland;Trinity Coll Dublin, Sch Phys, Dublin 2, Ireland.ORCID iD: 0000-0002-6907-0731
Oak Ridge Natl Lab, Ctr Nanophase Mat Sci, Oak Ridge, TN 37831 USA.
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2019 (English)In: Physical Review B, ISSN 2469-9950, E-ISSN 2469-9969, Vol. 100, no 10, article id 104434Article in journal (Refereed) Published
Abstract [en]

Dopants, even single atoms, can influence the electrical and magnetic properties of materials. Here we demonstrate the opportunity for detecting the magnetic response of an embedded magnetic impurity in a nonmagnetic host material. We combine a depth sectioning approach with electron magnetic circular dichroism in scanning transmission electron microscopy to compute the depth-resolved magnetic inelastic-scattering cross section of single Co impurity buried in the host crystal of GaAs. Our calculations suggest that the magnetic dichroic signal intensity is sensitive to the depth and lateral position of the electron probe relative to the magnetic impurity. Additionally, a more precise dichroic signal localization can be achieved via choosing higher-collection-angle (beta) apertures. Quantitative evaluation of the inelastic-scattering cross section and signal-to-noise ratio indicates that the magnetic signal from a single Co atom is on the verge of being detectable with today's state-of-the-art instrumentation.

Place, publisher, year, edition, pages
AMER PHYSICAL SOC , 2019. Vol. 100, no 10, article id 104434
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Condensed Matter Physics
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URN: urn:nbn:se:uu:diva-395834DOI: 10.1103/PhysRevB.100.104434ISI: 000488252600004OAI: oai:DiVA.org:uu-395834DiVA, id: diva2:1365610
Funder
Swedish Research Council, 2017-04026Swedish National Infrastructure for Computing (SNIC)EU, Horizon 2020, 823717 ESTEEM3Göran Gustafsson Foundation for Research in Natural Sciences and MedicineAvailable from: 2019-10-25 Created: 2019-10-25 Last updated: 2019-10-25Bibliographically approved

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Negi, Devendra SinghZeiger, PaulRusz, Jan

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