Cross-Validation of SPH-based Machine Learning Models using the Taylor-Green Vortex Case

Cross-validating SPH-based machine learning models on the Taylor-Green vortex, as a shared reference case.

Machine learning results in fluid mechanics are difficult to compare because everyone evaluates on different data. This paper uses the Taylor-Green vortex as a common reference case for cross-validating SPH-based learned models.

(Winchenbach & Thuerey, 2024)

Presented at the Particle Methods and Applications Conference 2024 in Santa Fe, USA.

References

2024

  1. Cross-Validation of SPH-based Machine Learning Models using the Taylor-Green Vortex Case
    Rene Winchenbach, and Nils Thuerey
    In Particle Methods and Applications Conference, Santa Fe, USA, 2024