ISIS Neutron and Muon Source Data Journal

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.


Depth profiling high efficiency non-fullerene acceptor polymer solar cell blends

Abstract: We would like to evaluate the vertical depth concentration profile for a blend of two materials that make a relatively high efficiency polymer solar cell device. Measurements of the device efficiencies have shown that comparable efficiencies can be achieved from spin coating a blend of the two constituent materials as is possible from sequential deposition of each component. So with neutron reflectometry we would like to assess if using the sequential deposition route we have created a bilayer device or if it is fact a much more akin to an intermixed nanophase separated network bulk heterojunction, like that created from a solution blend. We have asked for this time via the rapid access route as we would like to submit this work for publication in the coming months, understanding the processing steps via neutron reflectivity would greatly benefit the applicability of these devices.

Principal Investigator: Dr Andrew Parnell
Experimenter: Dr Andrew Pearson
Experimenter: Professor Richard Jones
Local Contact: Dr Jos Cooper
Experimenter: Dr Rachel Kilbride

DOI: 10.5286/ISIS.E.RB1800095

ISIS Experiment Number: RB1800095

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.91421391 OFFSPEC 13 February 2021 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Andrew Parnell et al; (2018): Depth profiling high efficiency non-fullerene acceptor polymer solar cell blends, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1800095

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



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