Exploring the configurational space of amorphous graphene with machine-learned atomic energies
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DOI: 10.1039/d2sc04326b
Abstract: Two-dimensionally extended amorphous carbon (“amorphous graphene”) is a prototype system for disorder in 2D, showing a rich and complex configurational space that is yet to be fully understood. Here we explore the nature of amorphous… read more here.
Keywords: configurational space; machine learned; atomic energies; amorphous graphene ... See more keywords