Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing

In recent years, there has been widespread adoption of machine learning (ML) technologies to unravel intricate relationships among diverse parameters in various additive manufacturing (AM) techniques. These ML models excel at recognizing complex patterns from extensive, well‐curated datasets, thereb...

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Bibliographic Details
Published in:Advanced materials (Weinheim) 2024-08, Vol.36 (34), p.e2310006-n/a
Main Authors: Ng, Wei Long, Goh, Guo Liang, Goh, Guo Dong, Ten, Jyi Sheuan Jason, Yeong, Wai Yee
Format: Article
Language:English
Subjects:
Additive manufacturing
bioelectronics
bioprinting
construction
cultivated meat
Design analysis
Design optimization
drug
Machine learning
Manufacturing
Pattern recognition
Quality control
Three dimensional printing
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