ISIS Neutron and Muon Source Data Journal

Determination of the solubility parameters and agglomeration behaviour of conjugated polymers via a binary solvent gradient method

Abstract: The efficiency of lab-based, small-area organic photovoltaic (OPV) devices has steadily increased over the last 15 years, increasing from <5% in 2005 to >16% in 2019. The manufacturing of OPV devices relies on the use of solution processing methods such as spin-coating, spray coating and inkjet printing. Therefore, to be processed during device manufacture, conjugated polymers need to have a reasonably high solubility in a given solvent. We have developed a new method to investigate solubility in such materials using a combination of SANS and SESANS which will use in this study. This allows us to investigate the solubility in dark opaque solutions, these are not accessible to traditional UV and visible absorption methods. By studying the solubility we will be able to determine the optimum conjugated polymer types that can be utilised in solar cell fabrication.

Principal Investigator: Dr Steven Parnell
Experimenter: Dr Gabriel Bernardo
Local Contact: Dr Robert Dalgliesh

DOI: 10.5286/ISIS.E.RB2069001

ISIS Experiment Number: RB2069001

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:
Dr Steven Parnell et al; (2020): Determination of the solubility parameters and agglomeration behaviour of conjugated polymers via a binary solvent gradient method, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2069001

Data is released under the CC-BY-4.0 license.