Machine learning prediction of thermal transport in porous media with physics-based descriptors
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, pp. 1201762020.
Abstract:
Understanding the thermal transport mechanism in porous media is important for various engineering and industrial applications. The effective thermal conductivity of porous media is known to be related to the morphology of porous structures. However, existing effective medium approaches usually miss the morphology effects, and numerical s...More
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