Research data supporting "Hierarchical Photonic Pigments via the Confined Self-Assembly of Bottlebrush Block Copolymers"
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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
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.
Microsoft Office 2007 or later, Acrobat reader, IrfanView,
photonic, self-assembly, bottlebrush block copolymer, confinement, emulsion
Publication Reference: https://doi.org/10.1021/acsnano.8b07845
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.
Biotechnology and Biological Sciences Research Council (BB/K014617/1)
European Research Council (639088)
Engineering and Physical Sciences Research Council (EP/N016920/1)
Engineering and Physical Sciences Research Council (EP/R511675/1)
This record's DOI: https://doi.org/10.17863/CAM.32022
Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Licence URL: https://creativecommons.org/licenses/by-sa/4.0/
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