Title: Data relating to "Explicit Detection of the Mechanism of Platinum Nanoparticle Shape Control by Polyvinylpyrrolidone"

Ye J-Y, Attard GA, Brew A, et al. (2016). Data relating to "Explicit Detection of the Mechanism of Platinum Nanoparticle Shape Control by Polyvinylpyrrolidone". Cardiff University. http://doi.org/10.17035/d.2016.0008427040

This data is not currently available because: Intent to publish project results
Access Method: Click to email a request for this data to opendata@cardiff.ac.uk

Cardiff University Dataset Creators

Dataset Details
Publisher: Cardiff University
Date (year) of data becoming publicly available: 2016
Data format: .tar .zip, .pdf, .xlsx
Software Required: tar file is a Linux tar format requiring unpacking on Linux workstation, it contains VASP input/output files from DFT calculations. Zip file is standard windows zip containing the plot files used in figure generation in the paper.
Estimated total storage size of dataset: Less than 100 megabytes
DOI: 10.17035/d.2016.0008427040


Polyvinylpyrrolidone (PVP) is a widely used soluble polymer that is used in the production of nanoscale colloidal metal particles. The shape of the nanoparticles produced using this route is controlled by the interaction of the polymer and the functional groups of its monomer units with the facets of the growing nanoparticles. In this work we have used the sensitivity of cyclic voltametry to metal surface Miller index to understand the relative affinity of PVP for (111) and (100) facets of single crystal Pt surfaces. This is coupled with DFT calculations that reveal the preference of the monomer units for the various surface sites. This shows that the PVP interaction with the (100) surface is considerably stronger than with the (111), shedding light on the origins of morphological control for nanoparticle synthesis.

Data sets for titled paper covering CV plots, spectra and VASP DFT calculations.

Data are also available (via direct dowload) from the journal publisher's web page quoted below.

Research results based upon these data are published at http://doi.org/10.1021/acs.jpcc.5b10910

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Last updated on 2019-05-07 at 13:42