Morales García, Á., Valero Montero, R., & Illas i Riera, F. (2018). Reliable and computationally affordable prediction of the energy gap of (TiO2)(n) (10 <= n <= 563) nanoparticles from density functional theory.
Citación estilo ChicagoMorales García, Ángel, Rosendo Valero Montero, y Francesc Illas i Riera. Reliable and Computationally Affordable Prediction of the Energy Gap of (TiO2)(n) (10 <= N <= 563) Nanoparticles From Density Functional Theory. 2018.
Cita MLAMorales García, Ángel, Rosendo Valero Montero, y Francesc Illas i Riera. Reliable and Computationally Affordable Prediction of the Energy Gap of (TiO2)(n) (10 <= N <= 563) Nanoparticles From Density Functional Theory. 2018.
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