Suppression of Bremsstrahlung losses from relativistic plasma with energy cutoff

This project is a scientific research artifact (specifically an arXiv paper) rather than a software product. With 0 stars and only 2 forks over nearly three years, it has zero developer traction or software ecosystem. The 'defensibility' is purely academic; while the discovery that redistributing superthermal electrons can reduce radiative losses in relativistic regimes is a novel physical insight, there is no technical moat preventing any other physicist or engineer from implementing these equations in their own simulations. The risk from frontier AI labs (OpenAI, Anthropic) is virtually non-existent as this level of domain-specific high-energy physics is far outside their current product roadmaps. The primary 'competitors' are other theoretical frameworks from institutions like the Princeton Plasma Physics Laboratory (PPPL) or the Max Planck Institute. From an investment or competitive standpoint, this is a niche piece of intellectual property that would only be valuable if integrated into a broader fusion simulation suite like OpenMC or MCNP. The displacement horizon is 'unlikely' because scientific findings remain valid until refuted by new data, but the lack of an active codebase makes it a 'dead' project in terms of open-source momentum.