Work

A Knowledge-Guided XGBoost Model for Predicting Aluminum Alloy Corrosion Rates in Atmospheric Environments

Year: 2025

Type: conference-paper

Source: International Conference on Software Engineering and Computer Science (CSECS)

DOI: 10.1109/csecs64665.2025.11009539

Authors: Shengli Lv, Jiangtao Li, Fukun Bo

Institution: Northwestern Polytechnical University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4410854117

FWCI: 5.224

Cites: 8

Cited by: 1

Related to: 10