This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
A sustainability study of the galvanic deposition of silver from novel deep eutectic solvents by dynamic NR
Abstract: The immersion deposition of silver onto copper and brass from deep eutectic solvents (DES) is a novel method for protecting the surface of printed circuit boards. Background mechanistic studies indicate a rapid nucleation of Ag, followed by slow bulk growth that is likely to be limited by mass transport through pores and channels in the silver deposit that are filled with the DES solution. This study aims to clarify some important points in the galvanic deposition of silver on copper. Studies show this process is sustained until complete replacement of the Cu layer is achieved. Understanding the method by which ions ingress/egress from the film and the kinetics of Ag+ ion penetration to the Cu layer, through the silver, is of key importance. The movement of solvent within the coating will aid the understanding of the mass transport process.
Principal Investigator: Professor Karl Ryder
Experimenter: Dr Rachel Sapstead
Experimenter: Dr Emma Smith
Experimenter: Dr Virginia Ferreira
Experimenter: Professor Arthur Hillman
Experimenter: Dr Andrew Ballantyne
Local Contact: Dr Nina-Juliane Steinke
Experimenter: Dr Jodie Coulston
DOI: 10.5286/ISIS.E.RB1520292
ISIS Experiment Number: RB1520292
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.63529792 | OFFSPEC | 09 October 2018 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Karl Ryder et al; (2015): A sustainability study of the galvanic deposition of silver from novel deep eutectic solvents by dynamic NR, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1520292
Data is released under the CC-BY-4.0 license.