lelamir/synthetic-polymer-composites-dataset: Initial Release

The dataset was generated using a Monte Carlo framework with empirically inspired nonlinear relationships and stochastic noise. Each sample includes six input features and four output targets and is intended for supervised machine-learning regression, including multi-output random forest models for simult. prediction of polym. compos. properties.