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Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data

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Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
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publishDate 2026
publishDateSort 2026
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spellingShingle Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
title_auth Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
title_full Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
title_fullStr Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
title_full_unstemmed Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
title_short Graph Neural Network-Based Composition Recommendation for Solid Oxide Fuel Cells Using Full-Cycle Data
title_sort graph neural network-based composition recommendation for solid oxide fuel cells using full-cycle data
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11396645