Journal of Materials Informatics
All Journals
Search Log In
Home Articles Special Topics Volumes Webinars Interviews
Journal of Materials Informatics
Search Submit
Home Articles Special Topics Volumes Webinars Interviews

fig2

From:  Machine-learning-enabled composition–process co-design of heat-resistant cast aluminum alloys with superior elevated-temperature strength
Machine-learning-enabled composition–process co-design of heat-resistant cast aluminum alloys with superior elevated-temperature strength

Figure 2. Schematic illustration of the tensile specimen dimensions (unit: mm).

Journal of Materials Informatics
ISSN 2770-372X (Online)
Navigation
Follow Us
Navigation

Committee on Publication Ethics

https://members.publicationethics.org/members/journal-materials-informatics

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Committee on Publication Ethics

https://members.publicationethics.org/members/journal-materials-informatics

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/
Discover Content
Follow OAE
Twitter
Facebook
LinkedIn
YouTube
BiLiBiLi
WeChat
Rss
© 2016-2026 OAE Publishing Inc., except certain content provided by third parties