most citedMachine Learning for the edge energies of high symmetry Au nanoparticles

4 citations · 4 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2022★ 4 cited

Machine Learning for the edge energies of high symmetry Au nanoparticles

Emmanouil Pervolarakis, Georgios A. Tritsaris, Phoebus Rosakis +1

We present data-driven simulations for gold nanostructures, and develop a model that links total energy to geometrical features of the particle, with the ultimate goal of deriving…