Computational model extends the study of nanostructures beyond classic layered systems
Since the production of graphene in 2004, two-dimensional materials have been sparking scientific and technological interest. As they are only a few atomic layers thick, or even just a single atomic layer, they can exhibit special electronic, magnetic or chemical properties—which make them particularly interesting for applications such as electronics, catalysis and energy storage.
In this article, scientists have developed a computational model to extend the study of nanostructures beyond classic layered systems like van der Waals crystals. The model, called XCP (eXfoliation and Cleavage Potential), uses bond strengths to predict which crystals can be split into stable two-dimensional layers. By calculating the strength of atomic bonds and searching through large material databases, the XCP method can efficiently identify promising candidates for exfoliation.
The researchers tested over 24,000 nonlayered crystal structures, selecting 2,531 promising candidates based on low exfoliation energies and dynamic stability. Many of these predicted materials undergo significant changes in electronic properties when transitioning to thin layers, with potential applications in electronics, catalysis, energy storage, and spintronics. However, experimental verification of these predictions remains necessary.
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