3 citations · 4 across the 8 of their papers we have counts for
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cond-mat.mtrl-sci2020
Novel two-dimensional materials for electronics: computational modelling as a tool to enable the use of phosphorene in real applications
Francesco Mercuri
Two-dimensional and layered materials, such as graphene, have emerged in recent years for their potential use in several applications in technology, for example in electronics, bio…
cond-mat.mtrl-sci2020★ 1 cited
Predicting the properties of molecular materials: multiscale simulation workflows meet machine learning
Fabio Le Piane, Matteo Baldoni, Francesco Mercuri
Machine Learning tools are nowadays widely applied extensively to the prediction of the properties of molecular materials, using datasets extracted from high-throughput computation…
cond-mat.mtrl-sci2020
Early steps in the formation of the interface between organic molecular semiconductors and metals: a computational approach
Francesco Mercuri
A computational approach for predictive simulations of the nanoscale morphology in the early steps of the formation of the interface between metals and organic molecular semiconduc…