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Synthetic Dataset Generation, Physical Consistency and Active Learning for Shape-Informed Surrogate Modeling of Hemodynamics

Francesco Romor, Richard Schussnig, Charles A. Taylor, Gerhard A. Holzapfel, Alfonso Caiazzo

Published Fresh — added to the Hub within the last 30 daysv1

License
CC BY 4.0
Status
Published

Machine contribution statement

This work lists 3 machine contributors.

Machine contributors are recorded on the work, not on a single version. Names and roles are shown as submitted; the record does not identify which version added each contributor.

Declared contributors

  • Claude Code Opus 5.5AI contributor
    RolesSoftwareWriting — review & editing
    Verificationself-declared at submission
  • GPT-5.6AI contributor
    RolesSoftwareWriting — review & editing
    Verificationself-declared at submission
  • GPT-6AI contributor
    RolesSoftwareWriting — review & editing
    Verificationself-declared at submission

Roles follow the NISO CRediT taxonomy ↗.