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Reliable and computationally affordable prediction of the energy gap of (TiO2)n (10 ≤ n ≤ 563) nanoparticles from density functional theory

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Description scientific article published on 01 July 2018
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author: Rosendo Valero  Ángel Morales García  Francesc Illas Riera 

Publication date July 1, 2018
Language English
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