MAM-PhyGNN: A Physics-Hardcoded Graph Neural Network for fast and accurate thermal simulation in metal additive manufacturing

Additive manufacturing 2026

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Authors: H L Zhang, Zhibin Zhao, Xi Zhang, Xuefeng Chen
DOI: 10.1016/j.addma.2026.105208
Cited by: 1
References: 26

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Additive Manufacturing and 3D Printing Technologies Machine Learning in Materials Science

Publication details

Journal / source
Additive manufacturing
Publisher
Elsevier BV
Volume
122
Pages
105208–105208
Publication date
1 April 2026
Language
EN