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A machine learning approach to the prediction of heat-transfer coefficients in micro-channels
The accurate prediction of the two-phase heat transfer coefficient (HTC) as a function of working fluids, channel geometries and process conditions is key to the optimal design and operation of compact heat exchangers.
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