Work

Coupling physics in machine learning to predict interlamellar spacing and mechanical properties of high carbon pearlitic steel

Year: 2021

Type: article

Source: Materials Letters

DOI: 10.1016/j.matlet.2021.129645

Authors: Ling Qiao, Jingchuan Zhu, Yuan Wang

Institutions: Harbin Institute of Technology, Northeastern University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W3138257948

FWCI: 0.912

Cites: 10

Cited by: 19

Related to: 10