41 citations · 90 across the 8 of their papers we have counts for
8 papers
Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials
Federico Ottomano, John Y. Goulermas, Vladimir Gusev +14
Machine Learning (ML) has offered innovative perspectives for accelerating the discovery of new functional materials, leveraging the increasing availability of material databases.…
Learning Atoms from Crystal Structure
Andrij Vasylenko, Dmytro Antypov, Sven Schewe +4
Computational modelling of materials using machine learning, ML, and historical data has become integral to materials research. The efficiency of computational modelling is strongl…
Inferring energy-composition relationships with Bayesian optimization enhances exploration of inorganic materials
Andrij Vasylenko, Benjamin Asher, Chris C. Collins +4
Computational exploration of the compositional spaces of materials can provide guidance for synthetic research and thus accelerate the discovery of novel materials. Most approaches…
Epitaxial growth, optical and electrical conductivity of the metallic pyrochlore BiRuO on Y-stabilized ZrO substrate
Marita O'Sullivan, Jonathan Alaria, Mike W. Gaultois +3
We report on the epitaxial growth, structural and electrical properties of metallic pyrochlore bismuth ruthenate heterostructures grown along both the [001] and [111] directions. O…
Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties
Andrij Vasylenko, Dmytro Antypov, Vladimir Gusev +3
Fundamental differences between materials originate from the unique nature of their constituent chemical elements. Before specific differences emerge according to the precise ratio…
Weyl-like points from band inversions of spin-polarised surface states in NbGeSb
I. Marković, C. A. Hooley, O. J. Clark +16
Band inversions are key to stabilising a variety of novel electronic states in solids, from topological surface states in inverted bulk band gaps of topological insulators to the f…