Creating a Microstructure Latent Space with Rich Material Information for Multiphase Alloy Design

Documenti analoghi

• Revolutionizing Alloy Microstructure Segmentation through SAM and Domain Knowledge without Extra Training
  di: Ma, Xudong, et al.
  Pubblicazione: (2024)
• Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloys
  di: Wang, Lu, et al.
  Pubblicazione: (2024)
• PolyCrysDiff: Controllable Generation of Three-Dimensional Computable Polycrystalline Material Structures
  di: Chen, Chi, et al.
  Pubblicazione: (2026)
• A Generative Machine Learning Model for Material Microstructure 3D Reconstruction and Performance Evaluation
  di: Zheng, Yilin, et al.
  Pubblicazione: (2024)
• Efficient Semi-Automated Material Microstructure Analysis Using Deep Learning: A Case Study in Additive Manufacturing
  di: Navaratna, Sanjeev S., et al.
  Pubblicazione: (2026)