Ngā tūemi rite

• A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations
  mā: Shahed Rezaei, me ētahi atu.
  I whakaputaina: (2024)
• Tackling multiphysics problems via finite element-guided physics-informed operator learning
  mā: Yamazaki, Yusuke, me ētahi atu.
  I whakaputaina: (2026)
• A spatiotemporal deep learning framework for prediction of crack dynamics in heterogeneous solids: efficient mapping of concrete microstructures to its fracture properties
  mā: Koopas, Rasoul Najafi, me ētahi atu.
  I whakaputaina: (2024)
• Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space
  mā: Koopas, Rasoul Najafi, me ētahi atu.
  I whakaputaina: (2024)
• Comparative analysis of phase-field and intrinsic cohesive zone models for fracture simulations in multiphase materials with interfaces: Investigation of the influence of the microstructure on the fracture properties
  mā: Koopas, Rasoul Najafi, me ētahi atu.
  I whakaputaina: (2023)