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.
Study of the dynamics of a multi-component polymer blend using neutron polarisation analysis.
Abstract: Dynamics of multicomponent mixtures such as polymer blends are typically studied with QENS and deuterium labelling. Difficulties arise in the data analysis if the coherent signal of the ‘hidden’ component is of the same order of magnitude as the incoherent signal of the component of interest – contamination with the structure factor and any coherent inelastic scattering, means that the self-intermediate scattering function becomes difficult to isolate. One such case are blends of P3HT/PCBM for use in solar cells. They promise low manufacturing costs, high production throughput and large area applications, however efficiencies are still limited to ~ 11%. This study of the dynamics will help to maximise transport within the solar cells, and the use of neutron polarisation analysis to separate the incoherent and coherent scattering will allow unambiguous determination of the QENS signal.
Principal Investigator: Dr Victoria Garcia Sakai
Experimenter: Dr Gøran Nilsen
Experimenter: Dr Giuseppe Maria Paternò
Experimenter: Dr Ross Stewart
Local Contact: Dr David Voneshen
Experimenter: Dr Franco Cacialli
Experimenter: Mr Gino Cassella
DOI: 10.5286/ISIS.E.RB1810792
ISIS Experiment Number: RB1810792
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.90682888 | LET | 12 June 2021 | 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],
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For Example:
Dr Victoria Garcia Sakai et al; (2018): Study of the dynamics of a multi-component polymer blend using neutron polarisation analysis., STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1810792
Data is released under the CC-BY-4.0 license.