Ngā tūemi rite

• Bayesian analysis of nucleon-nucleon scattering data in pionless effective field theory
  mā: Bub, J. M., me ētahi atu.
  I whakaputaina: (2024)
• A Bayesian mixture model approach to quantifying the empirical nuclear saturation point
  mā: Drischler, C., me ētahi atu.
  I whakaputaina: (2024)
• Physics-Embedded Bayesian Neural Network (PE-BNN) to predict Energy Dependence of Fission Product Yields with Fine Structures
  mā: Chen, Jingde, me ētahi atu.
  I whakaputaina: (2025)
• Model orthogonalization and Bayesian forecast mixing via Principal Component Analysis
  mā: Giuliani, Pablo, me ētahi atu.
  I whakaputaina: (2024)
• Applying Gaussian Mixture Models to Track Reconstruction in Inelastic Scattering Experiments with Active Targets
  mā: Arokiaraj, A., me ētahi atu.
  I whakaputaina: (2025)