Browsing by Author "Trinchero, R."

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Comparative Analysis of Prior Knowledge-Based Machine Learning Metamodels for Modeling Hybrid Copper–Graphene On-Chip Interconnects

Kushwaha, S.; Soleimani, N.; Kumar, R.; Trinchero, R.; Canavero, F.G.; Roy, S.; Sharma, R. (2022-10-26)

In this article, machine learning (ML) metamodels have been developed in order to predict the per-unit-length parameters of hybrid copper–graphene on-chip interconnects based on their structural geometry and layout. ML ...
Fast extraction of per-unit-length parameters of hybrid copper-graphene interconnects via generalized knowledge based machine learning

Kushwaha, S.; Attar, A.; Trinchero, R.; Canavero, F.; Sharma, R.; Roy, S. (2022-08-26)

In this paper, a knowledge-based machine learning technique has been presented for estimating the per-unit-length parameters of hybrid copper-graphene interconnect networks. The salient feature of the proposed technique ...

Now showing items 1-2 of 2

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