most citedDeep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

physics.flu-dyn2023★ 2 cited

Deep Operator Learning-based Surrogate Models with Uncertainty Quantification for Optimizing Internal Cooling Channel Rib Profiles

Izzet Sahin, Christian Moya, Amirhossein Mollaali +2

This paper designs surrogate models with uncertainty quantification capabilities to improve the thermal performance of rib-turbulated internal cooling channels effectively. To cons…