69 citations · 145 across the 10 of their papers we have counts for
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physics.comp-ph2019★ 1 cited
Impressive computational acceleration by using machine learning for 2-dimensional super-lubricant materials discovery
Marco Fronzi, Mutaz Abu Ghazaleh, Olexandr Isayev +3
The screening of novel materials is an important topic in the field of materials science. Although traditional computational modeling, especially first-principles approaches, is a…
cond-mat.mtrl-sci2019★ 69 cited
Theoretical insights into the hydrophobicity of low index CeO2 surfaces
Marco Fronzi, M. Hussein N. Assadi, Dorian A. H. Hanaor
The hydrophobicity of CeO2 surfaces is examined here. Since wettability measurements are extremely sensitive to experimental conditions, we propose a general approach to obtain con…