Physics informs machine learning for crack-free printing of metals

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Bibliographic Details
Published in:MRS bulletin 2022-04, Vol.47 (4), p.353-353
Main Author: Afful, Henry Quansah
Format: Article
Language:English
Subjects:
Applied and Technical Physics
Characterization and Evaluation of Materials
Chemistry and Materials Science
Energy Materials
Machine learning
Materials Engineering
Materials Science
Nanotechnology
Online Access:Get full text
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ISSN:0883-7694
1938-1425
DOI:10.1557/s43577-022-00327-0