Dataset for "Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol".

This dataset contains the results of simulations of electromagnetic fields near the surface of a Cu/Ag sphere segment void array obtained using Lumerical FDTD software. The results support the publication "Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol".

Subjects:
Optics, photonics and lasers

Cite this dataset as:
Ohnoutek, L., Valev, V., 2020. Dataset for "Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00765.

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Data

Dataset.zip
application/zip (2MB)
Creative Commons: Attribution 4.0

This dataset contains the calculations of electric fields near the surface of a Cu/Ag sphere segment void array. The results were published in a research article with DOI: 10.1021/acs.analchem.9b02840 .

Creators

Lukas Ohnoutek
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

The data were obtained by simulating various surface geometries in Lumerical Finite Difference Time Domain (FDTD) software. The exact geometries of the simulated structures and the simulation parameters are described in the related publication.

Documentation Files

Notes.txt
text/plain (883B)
Creative Commons: Attribution 4.0

Funders

Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266

EPSRC Centre for Doctoral Training in Condensed Matter Physics
EP/L015544/1

Identifying the Chemical Composition of Air Pollution Particles
CHG\R1\170067

I could be a scientist
PEF1\170015

Fellowship - Chirality in the 21st century: enantiomorphing chiral plasmonic meta/nano-materials
RGF\EA\180228

Science and Technology Facilities Council
https://doi.org/10.13039/501100000271

Look into my eyes
ST/R005842/1

Publication details

Publication date: 18 March 2020
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00765

URL for this record: https://researchdata.bath.ac.uk/id/eprint/765

Related papers and books

Dong, X., Ohnoutek, L., Yang, Y., Feng, Y., Wang, T., Tahir, M. A., Valev, V. K., and Zhang, L., 2019. Cu/Ag Sphere Segment Void Array as Efficient Surface Enhanced Raman Spectroscopy Substrate for Detecting Individual Atmospheric Aerosol. Analytical Chemistry, 91(21), 13647-13657. Available from: https://doi.org/10.1021/acs.analchem.9b02840.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Lukas Ohnoutek

Departments:

Faculty of Science
Physics

Research Centres & Institutes
Centre for Nanoscience and Nanotechnology
Centre for Photonics and Photonic Materials