Research Data Leeds Repository

Data on Optical Conversion of Pure Spin Currents in Hybrid Molecular Devices

Citation

Wheeler, May C. and Al Ma'Mari, Fatma and Rogers, Matthew and Gonçalves, Francisco J. and Moorsom, Timothy and Brataas, Arne and Stamps, Robert L. and Ali, Mannan and Burnell, Gavin and Hickey, Bryan J. and Cespedes, Oscar (2017) Data on Optical Conversion of Pure Spin Currents in Hybrid Molecular Devices. University of Leeds. [Dataset] https://doi.org/10.5518/228¹

Dataset description

This dataset contains the measurements reported in the manuscript Optical Conversion of Pure Spin Currents in Hybrid Molecular Devices. Carbon-based molecules offer unparalleled potential for THz and optical devices controlled by pure spin currents: a low-dissipation flow of electronic spins with no net charge displacement. However, the research so far has been focused on the electrical conversion of the spin imbalance, where molecular materials are used to mimic their crystalline counterparts. Here, we show the results of spin pumping in Py with C60 layers, with measurements of damping, spin mixing conductance, optical absorbance, Raman spectrum and photoluminescence.

Keywords:

Spintronics; Molecular Electronics; Magnonics; Optoelectronics

Subjects:

F000 - Physical sciences > F300 - Physics²

Divisions:

Faculty of Engineering and Physical Sciences > School of Physics and Astronomy³

Related resources:

Location	Type
https://doi.org/10.1038/s41467-017-01034-0⁴	Publication
https://eprints.whiterose.ac.uk/123912/⁵	Publication

License:

Creative Commons Attribution 4.0 International (CC BY 4.0)

Date deposited:

06 Nov 2017 12:19

URI:

https://archive.researchdata.leeds.ac.uk/id/eprint/276⁶

Additional details

Creators or authors:

Creators	ORCID	Primary affiliation	Primary affiliation ID	Primary affiliation ID type	Secondary affiliation	Secondary affiliation ID	Secondary affiliation ID type
Wheeler, May C.		University of Leeds	https://ror.org/024mrxd33	ror
Al Ma'Mari, Fatma	https://orcid.org/0000-0002-6207-1168⁷	University of Leeds	https://ror.org/024mrxd33	ror	Sultan Qaboos University	https://ror.org/04wq8zb47	ror
Rogers, Matthew	https://orcid.org/0000-0002-4550-2392⁸	University of Leeds	https://ror.org/024mrxd33	ror
Gonçalves, Francisco J.	https://orcid.org/0000-0002-1671-437X⁹	University of Glasgow	https://ror.org/00vtgdb53	ror
Moorsom, Timothy	https://orcid.org/0000-0002-1771-7185¹⁰	University of Leeds	https://ror.org/024mrxd33	ror
Brataas, Arne	https://orcid.org/0000-0003-0867-6323¹¹	Norwegian University of Science and Technology	https://ror.org/05xg72x27	ror
Stamps, Robert L.	https://orcid.org/0000-0003-0713-4864¹²	University of Glasgow	https://ror.org/00vtgdb53	ror
Ali, Mannan	https://orcid.org/0000-0002-7426-7731¹³	University of Leeds	https://ror.org/024mrxd33	ror
Burnell, Gavin	https://orcid.org/0000-0002-9486-0639¹⁴	University of Leeds	https://ror.org/024mrxd33	ror
Hickey, Bryan J.	https://orcid.org/0000-0001-8289-5618¹⁵	University of Leeds	https://ror.org/024mrxd33	ror
Cespedes, Oscar	https://orcid.org/0000-0002-5249-9523¹⁶	University of Leeds	https://ror.org/024mrxd33	ror

Type of data:

Dataset

Research funders:

Engineering and Physical Sciences Research Council

Grant numbers:

EP/K00512X/1, EP/M000923/1 and EP/K036408

Publication date:

2017

Resource language:

English

Metadata language:

English

Research project title:

Multidisciplinary extreme magnetometry: State of the art magnetometry for physical, chemical, biological and engineering applications; Spintronics at Leeds; INSPIRE Physical Sciences: A Synergy for next generation materials science.

Publisher:

University of Leeds

Contact email:

o.cespedes@leeds.ac.uk¹⁷

Last Modified:

12 Aug 2024 09:16