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A surface emphasized multi-task learning framework for surface property predictions:A case study of magnesium intermetallics

Gaoning Shi Yaowei Wang Kun Yang Yuan Qiu Hong Zhu Xiaoqin Zeng

镁合金学报（英文）2026，Vol.14Issue(1)：216-227,12.

镁合金学报（英文）2026，Vol.14Issue(1)：216-227,12.DOI:10.1016/j.jma.2024.12.005

A surface emphasized multi-task learning framework for surface property predictions:A case study of magnesium intermetallics

Gaoning Shi ¹Yaowei Wang ²Kun Yang ²Yuan Qiu ²Hong Zhu ¹Xiaoqin Zeng³

作者信息

1. University of Michigan-Shanghai Jiao Tong University Joint Institute,Shanghai Jiao Tong University,Shanghai 200240,China
2. Engineering Technology Center,Shenyang Aircraft Corp.,Shenyang,Liaoning 110850,China
3. State Key Laboratory of Metal Matrix Composites,Shanghai Jiao Tong University,Shanghai 200240,China
折叠

摘要

关键词

Graph neural networks/Multi-task learning/Surface energy/Work function/Intermetallic compounds/Mg alloy

Key words

Graph neural networks/Multi-task learning/Surface energy/Work function/Intermetallic compounds/Mg alloy

引用本文复制引用

Gaoning Shi,Yaowei Wang,Kun Yang,Yuan Qiu,Hong Zhu,Xiaoqin Zeng..A surface emphasized multi-task learning framework for surface property predictions:A case study of magnesium intermetallics[J].镁合金学报（英文）,2026,14(1):216-227,12.

基金项目

The research was financially supported by the National Key R&D Program(No.2021YFB3501002)supported by the Ministry of Science and Technology of China,National Natu-ral Science Foundation of China(No.51825101,52127801).Computations were carried out on the π 2.0 cluster supported by the Center for High Performance Computing at Shanghai Jiao Tong University. （No.2021YFB3501002）

镁合金学报（英文）

ISSN：2213-9567

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