Supplementary materials for: Constitutive neural networks for main pulmonary arteries: Discovering the undiscovered

This dataset in KU Leuven's research data repository is the supplementary materials for the research paper entitled "Constitutive neural networks for main pulmonary arteries: Discovering the undiscovered". Authors: Thibault Vervenne (KU Leuven), Nele Famaey (KU Leuven), Ellen Kuhl (Stanford University) and Mathias Peirlinck (TU Delft). Citation: Vervenne, T., Peirlinck, M., Famaey, N. et al. Constitutive neural networks for main pulmonary arteries: discovering the undiscovered. Biomech Model Mechanobiol (2025). https://doi.org/10.1007/s10237-025-01930-1 The dataset contains the source data, code, results, and an explanatory readme.txt file. readme.txt data\ stretch (F) and nominal stress (P) for n = 8 samples, in axial (11) and circumferential (22) directions. code\ CANN4Artery_main_loop.py: main code sample-specific runs of neural network, all fiber angles, fixed and fitted fiber direction CANN4Artery_main_all-in-one.py: main code for cross-sample feature selection, all fiber angles, fixed and fitted fiber direction ModelsArtery_p.py: build the invariant strain energy densitity function + stress calculations, as well as the reduced and Holzapfel-Gasser-Ogden models, no regularization and L1 regularization PlotArtery_p.py: plot the results for sample-specific runs of neural network PlotArtery_all.py: plot the results for cross-sample feature selection Python: 3.9.18 tensorflow: 2.10.0 pandas: 2.2.2 numpy: 1.26.4 matplotlib: 3.8.4 sklearn: 1.5.1 results\ results-sample-specific.xlsx: spreadsheet containing results for sample-specific runs of neural network, all samples, all fiber angles, fixed and fitted fiber direction, no regularization and L1 regularization results-cross-sample.xlsx: spreadsheet containing results neural network for cross-sample feature selection, all fiber angles, fixed and fitted fiber direction, no regularization and L1 regularization results-reduced.xlsx: spreadsheet containing neural network results for reduced constitutive equation, all fiber angles, fixed and fitted fiber direction results-hgo.xlsx: spreadsheet containing neural network results for Holzapfel-Gasser-Ogden constitutive equation, all fiber angles, fixed and fitted fiber direction, + classical Holzapfel-Gasser-Ogden material parameter fitting results