Discover our results
Throughout the project, our team of partners will publish scientific articles as we make our discoveries, post updates on milestones achieved, and share reports and deliverables summarising our progress. Follow the links below to find out more
Publications
Sep 01
Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence
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Jul 31
UTILE-Pore: Deep Learning-Enabled 3D Analysis of Porous Materials in Polymer Electrolyte Membrane-Based Energy Devices
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Mar 28
Large language models for knowledge graph extraction from tables in materials science
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Feb 11
