19 citations · 19 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2024
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.…
cond-mat.mtrl-sci2019★ 19 cited
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…