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A Transfer Learning-Based Adaptive Neural Network Material Modeling Framework
DOI:10.1016/j.ijmecsci.2025.110757.png)
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
IF:
9.4
Papers:
1.0W
Citations:
4.5W

