HIGHLIGHTS
- who: Tech Science Press et al. from the Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the paper: Deep Learning Prediction Model for NiCrAlY Diffusion Barrier Thickness for Tungsten Wires, in the Journal: (JOURNAL)
- what: In the research , a supervised deep learning CNN (D-CNN) model that achieves direct mapping from three dimensional vacancy defected structures to operative diffusivity is proposed. The authors propose the D-CNN which utilizes feature accumulation technique.
- how: The authors collected data items to build . . .
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