Machine learning assisted material development for lithography-based additive manufacturing of porous alumina ceramics-Reference-Cited by-同舟云学术

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Machine learning assisted material development for lithography-based additive manufacturing of porous alumina ceramics

Published:2024-06 Issue: Volume:18 Page:100573
ISSN:2666-5395
Container-title:Open Ceramics
language:en
Short-container-title:Open Ceramics

Author:

Nohut Serkan^ORCID,Schwentenwein Martin

Funder

Horizon 2020

H2020 Marie Skłodowska-Curie Actions

European Commission Marie Sklodowska-Curie Actions

Publisher

Elsevier BV

Reference54 articles.

1. Multi-material additive manufacturing of functionally graded carbide ceramics via active, in-line mixing;Pelz;Addit. Manuf.,2021

2. Review on additive manufacturing of multi-material parts: progress and challenges;Hasanov;J. Manuf. Mater. Process.,2022

3. Machine learning for advanced additive manufacturing;Jin;Matter,2020

4. Vat photopolymerization additive manufacturing of functionally graded materials: a review;Nohut;J. Manuf. Mater. Process.,2022

5. Additive manufacturing of dense alumina ceramics;Schwentenwein;Int. J. Appl. Ceram. Technol.,2014

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