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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.

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Catalog Last Checked: September 02, 2026 at 07:19 PM | Dataset Last Updated: December 01, 2025
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.

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