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.


Coupling particle ordering and spherulite growth in mixed molecular weight poly(ethylene oxide) solid state electrolytes

Abstract: The transition to a carbon neutral society is dependent on the growing use of renewable electrical energy, made possible by electrochemical energy storage devices, such as batteries. Currently most of these needs are met by Lithium-ion batteries (LIBs), however, decades of optimization have resulted in plateauing LIB performances with restrictions on charge rate, energy density and power. Solid state electrolytes (SSE) with high ion conductivity solve the issue of flammability and can mitigate dendrite growth, permitting greater energy density devices with less restricted operating conditions. Organic solid electrolytes based on polymers such as poly(ethylene oxide) (PEO) have a high donor number for Li ions and are spaced at a favourable distance to promote ion hopping, achieve suitable electrode contact and benefit from simple processability. We have recently revealed significant conductivity optimisation of PEO based SSE by mixing select molecular weight (MW) PEO with desired ratio, evidenced by spherulite morphology. Investigation of these structures across the nano- to macro- scale is required to inform preparation parameters for PEO based SSE.

Principal Investigator: Professor Milana Trifkovic
Experimenter: Dr Najet Mahmoudi
Experimenter: Dr Fabrizia Foglia
Experimenter: Dr Keenan Smith
Local Contact: Dr Steve King
Experimenter: Ms Pantea Ghahremani
Experimenter: Dr Behzad Fuladpanjehhojaghan

DOI: 10.5286/ISIS.E.RB2467003

ISIS Experiment Number: RB2467003

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2467003-1 SANS2D 17 July 2027 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:
Professor Milana Trifkovic et al; (2024): Coupling particle ordering and spherulite growth in mixed molecular weight poly(ethylene oxide) solid state electrolytes, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2467003

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



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