Research data supporting "Hierarchical Photonic Pigments via the Confined Self-Assembly of Bottlebrush Block Copolymers"
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Authors
Song, dong
Zhao, tianheng
Guidetti, giulia
Vignolini, silvia
Parker, RM
Publication Date
2019-01-24Type
Dataset
Metadata
Show full item recordCitation
Song, d., Zhao, t., Guidetti, g., Vignolini, s., & Parker, R. (2019). Research data supporting "Hierarchical Photonic Pigments via the Confined Self-Assembly of Bottlebrush Block Copolymers" [Dataset]. https://doi.org/10.17863/CAM.32022
Description
Supporting data for the article titled "Hierarchical Photonic Pigments via the Confined Self-Assembly of Bottlebrush Block Copolymers". The article was accepted for publication in 2019 in the journal "ACS Nano". Electronic supporting Information is available from the publisher (ACS). The data is provided within a structured set of folders compressed in zip, each correlating to a specific figure in the article. Spreadsheets are provided as ‘.xlsx’; images as ‘.bmp’, ‘.jpeg’, ‘.tiff’ and ‘.png’; and NMR spectra are provided in ‘.fid’ file format.
Nb. The individual tick of the scale bar images corresponds to a spacing of 10 µm.
Format
Microsoft Office 2007 or later, Acrobat reader, IrfanView,
Keywords
photonic, self-assembly, bottlebrush block copolymer, confinement, emulsion
Relationships
Publication Reference: https://doi.org/10.1021/acsnano.8b07845
Sponsorship
This work was supported by the European Research Council [ERC-2014-STG H2020 639088], the BBSRC [David Phillips Fellowship BB/K014617/1], the EPSRC [1525292; EP/N016920/1; EP/R511675/1], the National Natural Science Foundation of China [Grant 51873098] and the Winton Programme for the Physics of Sustainability.
Funder references
Biotechnology and Biological Sciences Research Council (BB/K014617/1)
European Research Council (639088)
EPSRC (1525292)
Engineering and Physical Sciences Research Council (EP/N016920/1)
Engineering and Physical Sciences Research Council (EP/R511675/1)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.32022
Rights
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Licence URL: https://creativecommons.org/licenses/by-sa/4.0/
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
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