Ngā tūemi rite

• A Straightforward Gradient-Based Approach for High-Tc Superconductor Design: Leveraging Domain Knowledge via Adaptive Constraints
  mā: Fujii, Akihiro, me ētahi atu.
  I whakaputaina: (2024)
• Representing Born effective charges with equivariant graph convolutional neural networks
  mā: Kutana, Alex, me ētahi atu.
  I whakaputaina: (2024)
• Machine-learning potential for phonon transport in AlN with defects in multiple charge states
  mā: Dou, Ying, me ētahi atu.
  I whakaputaina: (2024)
• MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models
  mā: Yoshitake, Michiko, me ētahi atu.
  I whakaputaina: (2024)
• CrystalFramer: Rethinking the Role of Frames for SE(3)-Invariant Crystal Structure Modeling
  mā: Ito, Yusei, me ētahi atu.
  I whakaputaina: (2025)