SR-CLD: Spatially Resolved Chord Length Distributions for Statistical Description and Visualization of Non-uniform Microstructures

Documenti analoghi

• Machine learning of microstructure--property relationships in materials leveraging microstructure representation from foundational vision transformers
  di: Whitman, Sheila E., et al.
  Pubblicazione: (2025)
• AnisoGNN: graph neural networks generalizing to anisotropic properties of polycrystals
  di: Hu, Guangyu, et al.
  Pubblicazione: (2024)
• FIP-GNN: Graph neural networks for scalable prediction of grain-level fatigue indicator parameters
  di: Sim, Gyu-Jang, et al.
  Pubblicazione: (2024)
• Thermodynamic assessment of the Ba-La-S and Ga-La-S systems
  di: Wang, Jiayang, et al.
  Pubblicazione: (2026)
• Eutectic and peritectic equilibria in coherent binary alloys
  di: Hassan, Samiah, et al.
  Pubblicazione: (2026)