Multiscale modeling predicts mechanical properties and transport behavior in graphene nanostructures, suggesting new insights for material development.
Multiscale modeling of graphene and carbon nanostructures using atomistic, coarse‑grained, and machine‑learning methods to predict mechanical properties, transport behavior, electrokinetics, and ink assembly across scales.
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Najafipour et al. (2026) studied this question.
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