Accelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning

Documenti analoghi

• Multiscale Modeling of Abnormal Grain Growth: Role of Solute Segregation and Grain Boundary Character
  di: Linda, Albert, et al.
  Pubblicazione: (2025)
• Accelerating ab initio melting property calculations with machine learning: Application to the high entropy alloy TaVCrW
  di: Zhu, Li-Fang, et al.
  Pubblicazione: (2024)
• DeePAW: A universal machine learning model for orbital-free ab initio calculations
  di: Su, Tianhao, et al.
  Pubblicazione: (2026)
• The ab initio amorphous materials database: Empowering machine learning to decode diffusivity
  di: Zheng, Hui, et al.
  Pubblicazione: (2024)
• Deep Learning Assisted Denoising of Experimental Micrographs
  di: Ahmad, Owais, et al.
  Pubblicazione: (2025)