Reliable and Computationally Affordable Prediction of the Energy Gap of (Tio2)N(10 ≤N≤ 563) Nanoparticles from Density Functional Theory

AuthID
 P-015-D3P
3
Author(s)
Morales-García, Á
·
Illas, F
Tipo de Documento
Article
Year published
2018
Publicado
in Physical Chemistry Chemical Physics, ISSN: 1463-9076
Volume: 20, Número: 28, Páginas: 18907-18911
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ISSN: 1463-9076
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