COMSOL-based parametric simulation dataset for thermal performance prediction of conventional light-gauge steel-framed walls

The dataset includes geometric parameters, material thermophysical properties, convective boundary conditions, indoor and outdoor air temperatures, and corresponding thermal performance indicators, including thermal transmittance, total thermal resistance, average heat flux density, and average inner and outer surface temperatures.

The dataset was used to train and evaluate machine-learning surrogate models for rapid thermal performance prediction of conventional LSF walls.