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What is Predicting Thermal Conductivity with CNN about?

1. The document presents a method to predict the effective thermal conductivity of fibrous and particulate composite materials using convolutional neural networks (CNNs). 2. Digital images of composite material microstructures are generated using various methods and the lattice Boltzmann method is used to predict thermal conductivities from the images. 3. A CNN model is trained using the microstructural images and corresponding thermal conductivity predictions. The trained CNN can then efficiently predi

Author

William Rolando Miranda Zamora

Language

EN