Zaid presented his work “Eddy Viscosity Prediction and Uncertainty Quantification with Bayesian Optimized Deep Ensemble” at the ANS Advances in Thermal Hydraulics (ATH 2024) conference.
The journal version of this work is currently under review.

Posted on by Yang Liu
Zaid presented his work “Eddy Viscosity Prediction and Uncertainty Quantification with Bayesian Optimized Deep Ensemble” at the ANS Advances in Thermal Hydraulics (ATH 2024) conference.
The journal version of this work is currently under review.

Posted on by Yang Liu
Congratulations Zaid!
Posted on by Yang Liu
Dr. Yang Liu attended The 14th International Topical Meeting on Nuclear Reactor Thermal-Hydraulics, Operation, and Safety(NUTHOS-14) in Vancouver, Canada on August 25-28. He chaired a panel which discussed the progress, challenges, and opportunities on applying AI/ML for nuclear thermal hydraulics. He also presented a research paper “Development of data-driven eddy viscosity closure to support MSR flow and heat transfer modeling based on SAM-ML”.