Machine learning-driven synergistic optimization of mechanical properties and porosity in shell–core composite structures
Fields of Study & Subjects
Machine Learning in Materials Science
Cellular and Composite Structures
Material Selection and Properties
Publication details
- Journal / source
- Journal of Manufacturing Processes
- Publisher
- Elsevier BV
- Volume
- 167
- Pages
- 492–506
- Publication date
- 8 April 2026
- Language
- EN