Duke engineers show how a common device architecture used to test 2D transistors overstates their performance prospects in real-world devices.
Recent augmentation-based methods showed that message-passing (MP) neural networks often perform poorly on low-degree nodes, leading to degree biases due to a lack of messages reaching low-degree ...
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