Tunable Carrier Dynamics in Carbide Antiperovskites via A-Site Cation Substitution

This project is a specific academic study focused on a niche class of materials (carbide antiperovskites) rather than a software tool or platform. With 0 stars and 2 forks, it functions primarily as a supplemental data/code repository for a research paper (arXiv:2512.24093v2). Its defensibility is low because it represents a single set of findings rather than a reusable framework or infrastructure; the methods used (GW/BSE, NAMD) are standard in computational materials science. Frontier labs like OpenAI or Google DeepMind are unlikely to compete directly in this specific material niche, although their broader materials discovery models (like GNoME) may eventually automate the discovery of such materials. The primary 'competitors' are other academic research groups using similar DFT/NAMD workflows. There is no software moat, only the domain expertise of the authors.