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On leveraging physical knowledge to augment neural network-based surrogate models for simulations
Data-driven boundary layer loss model for organic rankine cycle turbomachines
Machine Learning of Wind Plant Turbulence Anisotropy Fields
Prediction of flow-fields by combining high-fidelity CFD data and Machine Learning algorithms
A Study of Global-Coefficient Non-Linear Eddy Viscosity Models
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