Ziesche, Ralf FF, Heenan, Thomas MM, Kumari, Pooja, Williams, Jarrod, Li, Weiqun, Curd, Matthew EE, Burnett, Timothy LL, Robinson, Ian, Brett, Dan JL, Ehrhardt, Matthias JJ et al (show 6 more authors)
(2023)
Multi-Dimensional Characterization of Battery Materials.
ADVANCED ENERGY MATERIALS, 13 (23).
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Abstract
<jats:title>Abstract</jats:title><jats:p>Demand for low carbon energy storage has highlighted the importance of imaging techniques for the characterization of electrode microstructures to determine key parameters associated with battery manufacture, operation, degradation, and failure both for next generation lithium and other novel battery systems. Here, recent progress and literature highlights from magnetic resonance, neutron, X‐ray, focused ion beam, scanning and transmission electron microscopy are summarized. Two major trends are identified: First, the use of multi‐modal microscopy in a correlative fashion, providing contrast modes spanning length‐ and time‐scales, and second, the application of machine learning to guide data collection and analysis, recognizing the role of these tools in evaluating large data streams from increasingly sophisticated imaging experiments.</jats:p>
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | correlative microscopy, in situ imaging, Li-ion batteries, microscopy, multi-dimensional characterization, time-resolved |
| Divisions: | Faculty of Science and Engineering > School of Engineering |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 27 Jun 2023 10:19 |
| Last Modified: | 30 Aug 2023 08:48 |
| DOI: | 10.1002/aenm.202300103 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3171320 |
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