Predicting air flow in calendered paper sheets from $μ$-CT data: combining physics with morphology

Documenti analoghi

• R‐Vine Copulas for Data‐Driven Quantification of Descriptor Relationships in Porous Materials
  di: Matthias Neumann, et al.
  Pubblicazione: (2024)
• Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes
  di: Gräfensteiner, Phillip, et al.
  Pubblicazione: (2024)
• Quantifying local heterogeneities in the 3D morphology of X-PVMPT battery electrodes based on FIB-SEM measurements
  di: Dodell, L., et al.
  Pubblicazione: (2025)
• An AFM-based approach for quantification of guest particle deformation during mechano-fusion
  di: Gräfensteiner, Phillip, et al.
  Pubblicazione: (2023)
• Electrostatically Designing Materials and Interfaces
  di: Egbert Zojer
  Pubblicazione: (2024)