Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics

Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics

The structure of amorphous silicon has been studied for decades. The two main theories are based on a continuous random network and on a ‘paracrystalline’ model, respectively—the latter defined as showing localized structural order resembling the crystalline state whilst retaining an overall amorpho...

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Dettagli Bibliografici
Autori principali:	Rosset, LAM, Drabold, DA, Deringer, VL
Natura:	Journal article
Lingua:	English
Pubblicazione:	Nature Research 2025

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