output
20122026
most citedElectronic Correlation and Magnetism in the Ferromagnetic Metal Fe3GeTe2

174 citations

Showing 2021 · cond-mat.mtrl-sciShow all

5 papers · 2 filters

cond-mat.mtrl-sci2021★ 11 cited

At the verge of topology: vacancy-driven quantum spin Hall in trivial insulators

F. Crasto de Lima, Adalberto Fazzio

Vacancies in materials structure -- lowering its atomic density -- take the system closer to the atomic limit, to which all systems are topologically trivial. Here we show a mechan…

cond-mat.mtrl-sci2021★ 28 cited

Amorphous BiSe structural, electronic, and topological nature by first-principles

Bruno Focassio, Gabriel R. Schleder, F. Crasto de Lima +2

Crystalline is one of the most explored three-dimensional topological insulator, with a energy gap making it promising for applications. Its amorphous…

cond-mat.mtrl-sci2021★ 67 cited

Machine learning for materials discovery: two-dimensional topological insulators

Gabriel R. Schleder, Bruno Focassio, Adalberto Fazzio

One of the main goals and challenges of materials discovery is to find the best candidates for each interest property or application. Machine learning rises in this context to effi…

cond-mat.mtrl-sci2021★ 14 cited

Machine learning of microscopic ingredients for graphene oxide/cellulose interaction

Romana Petry, Gustavo Silvestre, Bruno Focassio +3

Understanding the role of microscopic attributes in nanocomposites allows for a controlled and, therefore, acceleration in experimental system designs. In this work, we extracted t…

cond-mat.mtrl-sci2021★ 6 cited

Bandgap evolution in nanographene assemblies

F. Crasto de Lima, A. Fazzio

Recently cycloarene has been experimentally obtained in a self-assembled structure, forming graphene-like monoatomic layered systems. Here, we establish the bandgap engineering/pre…