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usage stats
Totals for datasets (co-)authored by Paul van Zuijlen
604
downloads
796
views

Paul van Zuijlen

orcid logo 0000-0003-3461-8848
Datasets
  • Code supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
  • Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
  • Code supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction
  • Code supporting the paper: High-speed predictions of post-burn contraction using a neural network trained on 2D-finite element simulations
  • Code supporting the paper: Stability of a one-dimensional morphoelastic model for post-burn contraction
  • Code supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction
  • Data supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
  • Data supporting the paper: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction
  • Data supporting the paper: Stability of a two-dimensional biomorphoelastic model for post-burn contraction
Co-authors
Co-authors of Paul van Zuijlen's datasets/collections. Bold: authors with a 4TU.ResearchData account.
  • Alexis Desmoulière
  • Fred Vermolen
  • Ginger Egberts
4TU Delft 4TU Eindhoven 4TU Twente 4TU Wageningen

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