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A Transfer Learning-Based Adaptive Neural Network Material Modeling Framework

delete2025-08-28
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PRE
AI
Y
Yu Zhu
张乐乐 (Lele Zhang)
J
Junyi Gao
Y
Yaozhi Pan
Z
Zuheir Barsoum
W
Weiyuan Dou *
DOI:10.1016/j.ijmecsci.2025.110757delete
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Abstract

Abstract

En 中文
• Heterogeneous transfer enables adaptive material modeling with minimal test data. • Fine-tuning pre-trained models via evolutionary non-convex optimization. • Physics-compliant data generation via calibration of physics-based material model. • Efficient characterization of material properties under varying process parameters.
Keywords:
heterogeneous transfer
fine-tuning
evolutionary optimization
physics-compliant data generation
material characterization

Journal

International Journal of Mechanical Sciences cover
International Journal of Mechanical Sciences
IF:
9.4
Papers:
1.0W
Citations:
4.5W

Organization

B
Beijing Jiaotong University
Scholars:
2.2W
Papers: 1.7W
Citations: 1.2W
K
KTH Royal Institute of Technology
Scholars:
1.3K
Papers: 777
Citations: 2.6W
M
max-planck-institut für physik
Scholars:
162
Papers: 46
Citations: 0
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