Scalable machine learning models for predicting quantum transport in disordered 2D hexagonal materials

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This step rapidly finds the optimal sequence of border points and shortcuts to get from your start cluster's periphery to your target cluster's periphery. It's incredibly fast because it's ignoring all the tiny roads within intermediate clusters.

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