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combustion-models

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A framework to predict ignition delay using GMM, Spath, multiple regression and error based tertiary tree algorithms to generate training models. Extreme points of the cluster are utilized to make the correct identification of cluster and test predictions.

  • Updated Jul 21, 2023
  • Python

Physics-informed propellant combustion and nozzle performance simulator with an optional TensorFlow surrogate for specific impulse. Computes exhaust velocity, thrust, Isp, temp/pressure profiles, wall heating, and stability spectrum for multiple propellants. CLI, plots, and cached models in models

  • Updated Aug 26, 2025
  • Python

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