16 citations · 17 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2026★ 16 cited
A Novel Multi-fidelity Surrogate for Efficient Turbine Design Optimization
Qineng Wang, Liming Song, Zhendong Guo +2
To solve the turbine design optimization problems efficiently, surrogate-based optimization (SBO) algorithms are frequently used. To further reduce the cost of turbine design, the…
physics.flu-dyn2026★ 1 cited
A Novel Multi-fidelity Surrogate for Turbomachinery Design Optimization
Qineng Wang, Liming Song, Zhendong Guo +2
Turbomachinery design optimization involves expensive black-box problems. Sample-efficient multi-fidelity optimization (MFO) offers an efficient solution. By utilizing multi-fideli…