Browsing by Author "Narayan, S. S. L."

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Estimating per-unit-length resistance parameter in emerging Copper-Graphene hybrid interconnects via prior knowledge based accelerated neural networks

Kumar, R.; Narayan, S. S. L.; Kumar, S.; Roy, S.; Kaushik, B. K.; Achar, R.; Sharma, R. (2021-06-20)

In this paper, an artificial neural network (ANN) is developed to model how the geometrical parameters of hybrid copper-graphene interconnects affect the per-unit-length resistance values. The proposed ANN is intelligently ...
Knowledge-Based neural networks for fast design space exploration of hybrid Copper-Graphene On-Chip interconnect networks

Kumar, R.; Narayan, S. S. L.; Kumar, S.; Roy, S.; Kaushik, B. K.; Achar, R.; Sharma, R. (2021-10-24)

In this article, an artificial neural network (ANN) is developed in order to predict the per-unit-length (p. u. l.) parameters of hybrid copper-graphene on-chip interconnects from a prior knowledge of their structural ...

Now showing items 1-2 of 2

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