Convolutional neural networks for approximating electrical and thermal conductivities of cu-cnt composites

HIGHLIGHTS

• who: Faizan Ejaz from the SchoolState University have published the Article: Convolutional neural networks for approximating electrical and thermal conductivities of Cu-CNT composites, in the Journal: Scientific Reports Scientific Reports
• what: In this article, a convolutional neural_network (CNN) is presented that infers the electrical and thermal conductivity of Cu-CNT composites at room temperature (27 °C) when an input data describing the stochastic distribution of CNTs, CNT volume fraction and Cu-CNT interfacial resistance is provided. Since the images of Cu-CNT composites used in this work showed the shapes of CNTs distinctly without . . .
  

   

  

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