Digital Twins for Mastering Hydrogen

Authors

Publication Details

Journal
Aerospace Testing International
Published
2025-01-01
DOI
https://doi.org/10.12968/s1478-2774(25)50054-6
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Digital Twins for Mastering Hydrogen

Marc Hazenbiler
Aerospace Testing International
Machine Learning in Materials Science
article

Digital Twins for Mastering Hydrogen

Marc Hazenbiler
article en

Abstract

No abstract available for this paper.
Aerospace Testing InternationalVol. 2025
Openalex Percentile: Top 92%
Machine Learning in Materials Science
DOISourceOpenAlex
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Digital Twins for Mastering Hydrogen — Marc Hazenbiler · Aerospace Testing International (2025) | TGRS Research Map | TGRS