Journal of Materials Informatics
All Journals
Search Log In
Home Articles Special Issues Volumes Webinars Videos
Journal of Materials Informatics
Search Submit
Home Articles Special Issues Volumes Webinars Videos

fig4

From:  Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques
Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques

Figure 4. Flowchart of establishing the thermodynamic database in the framework of CALPHAD technique.

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
© 2016-2025 OAE Publishing Inc., except certain content provided by third parties