A computational framework (CHIPS-TB) for evaluating and comparing tight-binding parameterizations across diverse material systems relevant to semiconductor design, focusing on properties such as electronic bandgaps, band structures, and bulk modulus.

The chipstb repository is a Python-based automation suite designed to systematically benchmark tight-binding electronic structure models (such as DFTB, TB3PY, and SlaKoNet) against high-accuracy Density Functional Theory (DFT) and experimental reference data. Built upon the JARVIS-Tools infrastructure, the code manages the complete workflow of retrieving crystal structures, executing semi-empirical calculations, and computing statistical error metrics for key properties like bandgaps and bulk moduli.