Publication

Spin transport in graphene - hexagonal boron nitride van der Waals heterostructures

Gurram, M., 2018, [Groningen]: University of Groningen. 175 p.

Research output: ThesisThesis fully internal (DIV)Academic

Copy link to clipboard

Documents

  • Title and contents

    Final publisher's version, 188 KB, PDF document

  • Chapter 1

    Final publisher's version, 256 KB, PDF document

  • Chapter 2

    Final publisher's version, 825 KB, PDF document

  • Chapter 3

    Final publisher's version, 477 KB, PDF document

  • Chapter 4

    Final publisher's version, 744 KB, PDF document

  • Chapter 5

    Final publisher's version, 376 KB, PDF document

  • Chapter 6

    Final publisher's version, 5 MB, PDF document

  • Chapter 7

    Final publisher's version, 1 MB, PDF document

  • Chapter 8

    Final publisher's version, 3 MB, PDF document

  • Appendix

    Final publisher's version, 404 KB, PDF document

  • Summary

    Final publisher's version, 97 KB, PDF document

  • Samenvatting

    Final publisher's version, 98 KB, PDF document

  • సారాంశాం

    Final publisher's version, 129 KB, PDF document

  • Acknowledgements

    Final publisher's version, 85 KB, PDF document

  • Publications

    Final publisher's version, 77 KB, PDF document

  • Curriculum vitae

    Final publisher's version, 60 KB, PDF document

  • Complete thesis

    Final publisher's version, 11 MB, PDF document

  • Propositions

    Final publisher's version, 288 KB, PDF document

The current microelectronics technology utilizes the charge property of electron for information processing. To overcome the challenges such as the power dissipation and downscaling of the electronic devices, the field of study spintronics (spin based electronics) explores an additional intrinsic property of electron, called spin, purely a quantum mechanical property.

Graphene, a one-atom thick two-dimensional layer of carbon atoms, has emerged in the last decade as a promise material for spintronics applications. The research presented in this thesis addresses the challenges in graphene spintronics due to the underlying substrate, impurities on graphene’s surface and the quality of the ferromagnetic tunneling contacts. For this we introduce a new device geometry where graphene is fully encapsulated between two hexagonal boron nitride (hBN) layers.

We show that hBN provides a clean tunnel barrier-graphene interface enabling long-distance spin transport in graphene. Furthermore, we show that it is possible to achieve spin-injection and detection polarizations up to ±100% and a unique sign inversion of spin signals via application of electric field across the ferromagnetic tunneling contacts. We also employed large-area chemical vapour deposition (CVD) grown hBN as tunnel barriers and our study points to the importance of the quality and the crystallographic orientation of hBN in determining the tunneling characteristics.

The results presented in this thesis represent important developments towards understanding the nature of spin transport in graphene and spin injection via hBN barriers. This understanding will certainly be helpful in overcoming the challenges in realizing practical spintronic devices based on graphene-hBN van der Waals heterostructures.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
Supervisors/Advisors
  • Wees, van, Bart, Supervisor
  • Vera Marun, Ivan, Co-supervisor
  • Stampfer, Christoph, Assessment committee, External person
  • Koster, Jan Anton, Assessment committee
  • Kawakami, R., Assessment committee, External person
Award date23-Mar-2018
Place of Publication[Groningen]
Publisher
Print ISBNs978-94-034-0543-8
Electronic ISBNs978-94-034-0542-1
Publication statusPublished - 2018
Related Publications
  1. Efficient spin injection into graphene through trilayer hBN tunnel barriers

    Leutenantsmeyer, J. C., Ingla-Aynes, J., Gurram, M. & van Wees, B. J., 21-Nov-2018, In : Journal of Applied Physics. 124, 19, 6 p., 194301.

    Research output: Contribution to journalArticleAcademicpeer-review

View all (1) »

View graph of relations

Download statistics

No data available

ID: 55669671