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".
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 .
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
Royal Society
https://doi.org/10.13039/501100000288
Identifying the Chemical Composition of Air Pollution Particles
CHG\R1\170067
Royal Society
https://doi.org/10.13039/501100000288
I could be a scientist
PEF1\170015
Royal Society
https://doi.org/10.13039/501100000288
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
Faculty of Science
Physics
Research Centres & Institutes
Centre for Nanoscience and Nanotechnology
Centre for Photonics and Photonic Materials
