Research area | Chemistry and Materials Science and Technology |
Title | Reliable and computationally affordable prediction of the energy gap of (TiO2)(n) (10 <= n <= 563) nanoparticles from density functional theory |
Publication Type | Journal Article |
Publication year | 2018 |
Authors | Morales-García, Á, Valero, R, Illas, F |
Journal | Physical Chemistry Chemical Physics |
Volume | 20 |
Number | 28 |
Pages | 18907–18911 |
DOI | 10.1039/c8cp03582b |