Machine learning potential-driven prediction of high-entropy ceramics with ultra-high melting points

Ähnliche Einträge

• Exploring mechanical and thermal properties of high-entropy ceramics via general machine learning potentials
  von: Liu, Yiwen, et al.
  Veröffentlicht: (2024)
• Laser-driven solid-state synthesis of high-entropy oxides
  von: wei, Peng, et al.
  Veröffentlicht: (2025)
• Predicting Mechanical and Thermal Properties of High‐Entropy Ceramics via Transferable Machine‐Learning‐Potential‐Based Molecular Dynamics
  von: Yiwen Liu, et al.
  Veröffentlicht: (2024)
• Unveiling the Oxidation Mechanisms of High‐entropy Carbides Through Atomic‐scale Dynamic Observation
  von: Lei Zhuang, et al.
  Veröffentlicht: (2025)
• Synthesis and characterization of high‐entropy diboride microfibers
  von: Shixin Zhao, et al.
  Veröffentlicht: (2025)