Work

Data-driven models for structure-property prediction in additively manufactured steels

Year: 2022

Type: article

Source: Computational Materials Science

DOI: 10.1016/j.commatsci.2022.111782

Authors: Ebrahim Sadeghpour, Aida Nonn

Institution: OTH Regensburg

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4296123512

FWCI: 1.341

Cites: 31

Cited by: 26

Related to: 10