From scalar indicators to full-field prediction: A multi-scale surrogate framework for thermal-field design in large-diameter Czochralski growth
Fields of Study & Subjects
Machine Learning in Materials Science
Model Reduction and Neural Networks
Solidification and crystal growth phenomena
Publication details
- Journal / source
- Journal of Crystal Growth
- Publisher
- Elsevier BV
- Volume
- 686
- Pages
- 128607–128607
- Publication date
- 5 April 2026
- Language
- EN