UC3M | Artificial intelligence and aerodynamics: learning to measure and tame turbulence

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In this activity, you will discover how artificial intelligence can become a powerful ally in understanding, measuring, predicting, and controlling the behavior of air, known as aerodynamics. We will begin with a simple introduction to this branch of physics, which helps us understand phenomena such as how an airplane flies or how to design faster and more efficient cars. Through visual and dynamic examples, we will see how artificial intelligence algorithms can help enhance our ability to measure and understand aerodynamics, providing us with safer and more reliable tools to control it. We will explore how this knowledge can lead to significant benefits, such as reducing energy consumption, improving transportation, and protecting the environment.

This activity is carried out within the framework of NEXTFLOW (Next-generation flow diagnostics for control), a scientific project funded by the European Research Council (ERC) through an ERC Starting Grant under the European Union’s Horizon 2020 Research and Innovation Framework Programme (grant agreement No. 949085).