Code supporting the paper: DeepONet models for predicting post-burn contraction

This online resource provides the relevant data for the forthcoming article <em>DeepONet models for predicting post-burn contraction. </em>The archived folder "data.zip" contains MATLAB data files for training and evaluating the DeepONet models. These datasets were created using MATLAB code available at https://doi.org/10.4121/21257199. The Python code for handling the MATLAB data, training, and evaluating the DeepONet models is available at https://github.com/Selma24/DeepONet-contraction.

本在线资源为即将刊出的论文《用于预测烧伤后挛缩的DeepONet模型》提供相关数据。归档压缩包"data.zip"内包含用于训练与评估DeepONet模型的MATLAB数据文件。本数据集通过https://doi.org/10.4121/21257199公开的MATLAB代码生成。用于处理MATLAB数据、训练及评估DeepONet模型的Python代码可于https://github.com/Selma24/DeepONet-contraction处获取。