Our latest paper, co-authored by Yin Jun, Simon Kuhn and Xiaotong Luo, has just been published in Chemical Engineering Research and Design (Elsevier) ChERD Journal 🔥
This work integrates Machine Learning with Computational Fluid Dynamics to correct mesh-induced errors in coarse-grid simulations.
By training a Random Forest model on multi-fidelity CFD data, we significantly improved prediction accuracy while reducing simulation time by over 90% for simulating flow fields in stirred tanks. 💻 📖
