fig5

From: Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Exploring the Pareto front of strength-conductivity trade-off: interpretable machine learning for property prediction and composition design in high-strength high-conductivity Cu alloys

Figure 5. The recursive selection process for 18 features. (A) EC; (B) UTS. EC: Electrical conductivity; UTS: ultimate tensile strength; RMSE: root mean square error.

Journal of Materials Informatics

ISSN 2770-372X (Online)

editorialoffice@jmijournal.com

Navigation

Sitemap

Navigation

Sitemap

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/

partners@oaepublish.com

Discover Content

Strategic Collaborators

Follow OAE

Privacy Cookies Terms of Service