Improving the predictive capabilities of reduced-order models for design injector and chamber elements rocket engines could greatly improve quality early designs. In present work, we propose an innovative methodology that uses high-fidelity numerical simulations turbulent reactive flows artificial intelligence generation surrogate models. The were generated analyzed are deep learning networks t...