Predicting Grain Growth Evolution Under Complex Thermal Profiles with Deep Learning through Thermal Descriptor Modulation

Documenti analoghi

• High-fidelity Grain Growth Modeling: Leveraging Deep Learning for Fast Computations
  di: Tep, Pungponhavoan, et al.
  Pubblicazione: (2025)
• Predicting Grain Growth in Polycrystalline Materials Using Deep Learning Time Series Models
  di: Younes, Eliane, et al.
  Pubblicazione: (2025)
• Vertex and front-tracking methods for the modeling of microstructure evolution at the solid state: a brief review
  di: Bernacki, Marc
  Pubblicazione: (2025)
• High-fidelity level-set modeling of polycrystalline grain growth
  di: Li, Tianchi, et al.
  Pubblicazione: (2026)
• Particle pinning during grain growth -- A new analytical model for predicting the mean limiting grain size but also grain size heterogeneity in a 2D polycrystalline context
  di: Bignon, Madeleine, et al.
  Pubblicazione: (2024)