BioBrAIn: Industrial Bioreactor with Cooling Coil - CFD-derived data

The dataset comprises 760 CFD simulations generated from the Latin hypercube sampling (LHS) design-of-experiments. The motivation for generating this dataset was to train supervised AI\ML models to predict spatial concentration gradients in an industrial reactor under varying operating conditions. We split the data into a development set (560 simulations) for model selection and hyperparameter tuning, and an unseen test set (200 simulations) for final evaluation.<br>For transparency and reproducibility, the complete case lists - including all sampled input parameters for each simulation - are provided in the companion files <em>development_set_cases.csv </em>and <em>test_set_cases.csv</em>. Each row corresponds to a unique simulation (case ID) and can be used to reproduce or subset the experiments reported in this work.<br>Further details about the meshing workflow, models implemented, and their parameterization can be found in the README.md file. <br>This dataset is part of the <strong>BioBrAIn </strong>collection -<em> A CFD database of bioreactors. </em>