Work

Predictions of toughness and hardness by using chemical composition and tensile properties in microalloyed line pipe steels

Year: 2014

Type: article

Source: Neural Computing and Applications

DOI: 10.1007/s00521-014-1687-9

Authors: Mohammad Javad Faizabadi, Gholamreza Khalaj, Hesam Pouraliakbar, Mohammad Reza Jandaghi

Institution: Sharif University of Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1995777919

FWCI: 2.29

Cites: 25

Cited by: 61

Related to: 10