The abstract claims a 5-boundary training set is enough to predict graphene grain-boundary thermal resistance with ab initio accuracy, but the full text is a mismatched manuscript about amorphous silicon.
Three different amorphous structures with the same size of 3.28 nm were studied
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Ab initio phonon transport across grain boundaries in graphene using machine learning based on small dataset
The abstract claims a 5-boundary training set is enough to predict graphene grain-boundary thermal resistance with ab initio accuracy, but the full text is a mismatched manuscript about amorphous silicon.