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 ...