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

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VSA and “Package by Feature” are patterns for organizing code around features and each slice/package should contain “all layers” the feature needs to operate. In this regard, it’s quite similar to classical Modular Design, except for the scope. There are no hard rules, but by intuition I would say that “features” are usually smaller than “processes” (on which modules should be based). But in practice I see developers organise slices into groups, which then are similar to modules.

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