High-speed 4D neutron computed tomography for quantifying water dynamics in polymer electrolyte fuel cells

Ziesche, R.F. orcid.org/0000-0001-7955-6893, Hack, J. orcid.org/0000-0002-5529-4750, Rasha, L. orcid.org/0000-0001-5813-6179 et al. (9 more authors) (2022) High-speed 4D neutron computed tomography for quantifying water dynamics in polymer electrolyte fuel cells. Nature Communications, 13 (1). 1616. ISSN: 2041-1723

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© The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Chemical engineering; Fuel cells; Imaging techniques
Dates:
  • Accepted: 24 February 2022
  • Published (online): 25 March 2022
  • Published: 25 March 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Chemical, Materials and Biological Engineering
Date Deposited: 17 Oct 2025 09:04
Last Modified: 17 Oct 2025 09:04
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1038/s41467-022-29313-5
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