most citedMachine learning for materials discovery: two-dimensional topological insulators

67 citations · 105 across the 3 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci202167 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…

physics.chem-ph202110 cited

Conformational analysis of tannic acid: environment effects in electronic and reactivity properties

Romana Petry, Bruno Focassio, Gabriel R. Schleder +2

Polyphenols are natural molecules of crucial importance in many applications, of which tannic acid (TA) is one of the most abundant and established. Most high-value applications re…

cond-mat.mtrl-sci202028 cited

Structural and electronic properties of realistic two-dimensional amorphous topological insulators

Bruno Focassio, Gabriel R. Schleder, Marcio Costa +2

We investigate the structure and electronic spectra properties of two-dimensional amorphous bismuthene structures and show that these systems are topological insulators. We employ…

cond-mat.mes-hall2020

Disorder effects of vacancies on the electronic transport properties of realistic topological insulators nanoribbons: the case of bismuthene

Armando Pezo, Bruno Focassio, Gabriel R. Schleder +3

The robustness of topological materials against disorder and defects is presumed but has not been demonstrated explicitly in realistic systems. In this work, we use state-of-the-ar…

cond-mat.mes-hall2020

Dual Topological Insulator Device with Disorder Robustness

Bruno Focassio, Gabriel R. Schleder, Armando Pezo +2

Two-dimensional NaBi is a dual topological insulator protected by time-reversal and mirror symmetry, resulting in a promising platform for devices design. However, in reality,…