Doutorado em Nanociência e Materiais Avançados pela Universidade Federal do ABC (Brasil), sob a supervisão do Prof. Adalberto Fazzio. Em 2022, visitei o Grupo de Spintrônica Computacional na Escola de Física do Trinity College Dublin (Irlanda), sob a supervisão do Prof. Stefano Sanvito. Meu principal interesse está em utilizar análise de dados, inteligência artificial, aprendizado de máquina, informática de materiais e técnicas orientadas por dados para explorar o espaço de fases dos materiais visando ao design e à descoberta eficiente de novos materiais. Minha tese de doutorado focou na aplicação de ciência de dados e aprendizado de máquina à ciência dos materiais, com o objetivo de descobrir e projetar materiais inovadores. (Source: Lattes Curriculum)
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We call topological quantum states when the wave function has a distinct character that can be specified by a topological invariant, a discrete quantity that remains unchanged under adiabatic transformations. Topological insulators is a class of materials where there is a strong coupling between the momentum and degree of freedom of the spin. Topological insulators (TI) are materials that…
In this project, we propose to study defects related to the incorporation of nitrogen impurities in bilayer graphene. Although these defects have been extensively studied in several systems, including graphite and graphene monolayer, literature data about their properties and specificity in graphene with few layers are vague or incomplete. In this project, we propose to study how defects …
Materials are represented by their atoms, composition, and structure (ACS). Materials with different ACS descriptions present a different set of properties. However, there is a complex and intriguing relationship between the ACS and materials' properties. Machine learning can explore such relations and accelerate the evaluation of properties by using fingerprints of known materials to fin…
| 2 / 2 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
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