<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Ziesche RF</submitter><funding>RCUK | Engineering and Physical Sciences Research Council (EPSRC)</funding><funding>The Faraday Institution; FIRG0013</funding><funding>Royal Academy of Engineering</funding><funding>RCUK | Engineering and Physical Sciences Research Council</funding><pagination>1616</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8956593</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>13(1)</volume><pubmed_abstract>In recent years, low-temperature polymer electrolyte fuel cells have become an increasingly important pillar in a zero-carbon strategy for curbing climate change, with their potential to power multiscale stationary and mobile applications. The performance improvement is a particular focus of research and engineering roadmaps, with water management being one of the major areas of interest for development. Appropriate characterisation tools for mapping the evolution, motion and removal of water are of high importance to tackle shortcomings. This article demonstrates the development of a 4D high-speed neutron imaging technique, which enables a quantitative analysis of the local water evolution. 4D visualisation allows the time-resolved studies of droplet formation in the flow fields and water</pubmed_abstract><journal>Nature communications</journal><pubmed_title>High-speed 4D neutron computed tomography for quantifying water dynamics in polymer electrolyte fuel cells.</pubmed_title><pmcid>PMC8956593</pmcid><funding_grant_id>EP/L015277/1</funding_grant_id><funding_grant_id>CiET1718\59</funding_grant_id><funding_grant_id>EP/T517793/1</funding_grant_id><pubmed_authors>Kardjilov N</pubmed_authors><pubmed_authors>Maier M</pubmed_authors><pubmed_authors>Rasha L</pubmed_authors><pubmed_authors>Kockelmann W</pubmed_authors><pubmed_authors>Heenan TMM</pubmed_authors><pubmed_authors>Hack J</pubmed_authors><pubmed_authors>Tan C</pubmed_authors><pubmed_authors>Markotter H</pubmed_authors><pubmed_authors>Manke I</pubmed_authors><pubmed_authors>Ziesche RF</pubmed_authors><pubmed_authors>Brett DJL</pubmed_authors><pubmed_authors>Shearing PR</pubmed_authors></additional><is_claimable>false</is_claimable><name>High-speed 4D neutron computed tomography for quantifying water dynamics in polymer electrolyte fuel cells.</name><description>In recent years, low-temperature polymer electrolyte fuel cells have become an increasingly important pillar in a zero-carbon strategy for curbing climate change, with their potential to power multiscale stationary and mobile applications. The performance improvement is a particular focus of research and engineering roadmaps, with water management being one of the major areas of interest for development. Appropriate characterisation tools for mapping the evolution, motion and removal of water are of high importance to tackle shortcomings. This article demonstrates the development of a 4D high-speed neutron imaging technique, which enables a quantitative analysis of the local water evolution. 4D visualisation allows the time-resolved studies of droplet formation in the flow fields and water</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-19T17:36:49.285Z</modification><creation>2025-04-19T17:36:49.285Z</creation></dates><accession>S-EPMC8956593</accession><cross_references><pubmed>35338141</pubmed><doi>10.1038/s41467-022-29313-5</doi></cross_references></HashMap>