All Journals All Articles | Search Log In
Articles Special Topics Volumes Webinars Videos
Articles Special Topics Volumes Webinars Interviews

fig2

From:  Physics-informed machine learning framework integrating solid solution strengthening theory for accelerated hardness prediction in high-entropy alloys
Physics-informed machine learning framework integrating solid solution strengthening theory for accelerated hardness prediction in high-entropy alloys

Figure 2. Pearson correlation coefficient heatmap of physical descriptors. VEC: Valence electron concentration.

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/
Contact Us
Follow OAE
Twitter
Facebook
LinkedIn
YouTube
BiLiBiLi
WeChat
Rss
© 2016-2026 OAE Publishing Inc., except certain content provided by third parties