Machine Learning Models and Dataset for Schwarz TPMS-Based Atmospheric Water Generation

This repository contains datasets and Python-based machine learning models (Decision Tree, KNN, and SVM) used to predict top surface temperature in Schwarz TPMS geometries for atmospheric water generation (AWG). The dataset is generated from nTop simulations and includes geometric parameters such as lattice thickness, cell size, surface area, and solid volume.