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

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Flexibility Clash: CH typically pre-calculates optimal paths. Supporting OsmAnd's 10+ routing parameters (leading to over 1024 combinations per profile!) would be impossible with standard CH.

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