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

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To take advantage of intrinsics directly, we must provide two versions of an algorithm: a portable

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A method is part of a class, which is part of a packageYou are editing a message that will be understood in the context of a class, positioned near other classes, related by naming, hierarchy, and collaboration.

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