Abstract: Graph convolutional networks (GCNs) have become a powerful deep learning approach for graph-structured data. Different from traditional neural networks such as convolutional neural networks, ...
Abstract: Reducing parasitics is expected to be a major knob for the CMOS performance promotion of ultrascaled nanosheet (NS) FETs. This article presents a novel modeling and simulation framework for ...
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