Ngā tūemi rite

• Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning
  mā: Juejing Liu, me ētahi atu.
  I whakaputaina: (2026)
• Data-Driven Insights into Rare Earth Mineralization: Machine Learning Applications Using Functional Material Synthesis Data
  mā: Liu, Juejing, me ētahi atu.
  I whakaputaina: (2025)
• Accurate and Data-Efficient Micro-XRD Phase Identification Using Multi-Task Learning: Application to Hydrothermal Fluids
  mā: Li, Yanfei, me ētahi atu.
  I whakaputaina: (2024)
• Machine Learning for Improved Density Functional Theory Thermodynamics
  mā: Simak, Sergei I., me ētahi atu.
  I whakaputaina: (2025)
• On the Robustness of Machine Learning Models in Predicting Thermodynamic Properties: a Case of Searching for New Quasicrystal Approximants
  mā: Avilov, Fedor S., me ētahi atu.
  I whakaputaina: (2024)