Machine Learning Enables Rapid Rocket Engine Design

  • Magazine Article
  • TBMG-37206
Published July 01, 2020 by Tech Briefs Media Group in United States
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  • English

Time, cost, and safety prohibit testing the stability of a test rocket using a physical build “trial and error” approach. But even computational simulations are extremely time-consuming. A single analysis of an entire SpaceX Merlin rocket engine, for example, could take weeks or even months for a supercomputer to provide satisfactory predictions.