High level research at the nanoscale
The Nanoscience Center (NSC) hosts more than hundred researchers with a background in biology, chemistry or physics. The strength of NSC is that there are people from all areas, from practical biologists to theoretical physicists. In addition to experimental work, substantial effort is invested in the theoretical and computational study of nanosystems.
Researchers at the Nanoscience Center used machine-learning combined with density-functional theory (DFT) to demonstrate that geometrical smoothness is the key factor governing the energetic and mechanical stability of lateral graphene–metallene interfaces.
They demonstrated universal machine-learning capabilities to accurately reproduce DFT-predicted stabilities accurately, enabling faster, more efficient design of metallene interfaces.
Reference and link to the published article:
Figure: Integrating density-functional theory and machine-learning to assess the stability of lateral graphene–metallene interfaces.