
Then, some topics from such will be cherry-picked and explored in more detail. Some founding and influential literature will be outlined in a table below to start. Simcenter STAR-CCM+ and Monolith AI represent two software which fuse high-fidelity complex physics simulation and no-code machine learning software tailored towards engineering simulation. If all goes as intended, the blog will be approachable to those new to turbulence modeling and machine learning, while still being informative for experts. This blog serves to address one of the most challenging aspects of CFD simulation (turbulence modeling) and frame it in the context of active research areas where machine learning is trying to help. This, in addition to more accessible sophisticated machine learning algorithms, is a beautiful recipe for advancing the state-of-the-art in simulation.

Figure 1: Video of combustion with turbulence presentĪs the landscape of methodologies and tools continue to trend digital in industrial equipment design, manufacturing, and operation, the availability of useful data is further increasing.
