Usage statistics

Totals for datasets (co-)authored by Fred Vermolen

Datasets

• Code supporting the paper: A Bayesian finite-element trained machine learning approach for predicting post-burn contraction
• Code supporting the paper: Stability of a two-dimensional biomorphoelastic 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: Sensitivity and feasibility of a one-dimensional morphoelastic model for post-burn contraction
• Code supporting the paper: Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction
• Code supporting the paper: DeepONet models for predicting 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 Fred Vermolen's datasets/collections. Bold: authors with a 4TU.ResearchData account.

• Alexander Heinlein
• Alexis Desmoulière
• Ginger Egberts
• Paul van Zuijlen
• Selma Husanović