Publicaciones en colaboración con investigadores/as de Rutherford Appleton Laboratory (3)

2022

  1. Spinel nitride solid solutions: charting properties in the configurational space with explainable machine learning†

    Digital Discovery, Vol. 1, Núm. 5, pp. 665-678

  2. Understanding the stability and structural properties of ordered nanoporous metals towards their rational synthesis

    Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 478, Núm. 2266

2021

  1. Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case Study

    Journal of Physical Chemistry Letters, Vol. 12, pp. 5163-5168