CV Lattes
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Universidade Federal do ABC (UFABC). Centro de Ciências Naturais e Humanas (CCNH) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Bachelor in Physics from the Federal University of Santa Maria (2007), Ph.D. in Nanosciences and Advanced Materials from the Federal University of ABC (2012), postdoctoral researcher at the Federal University of ABC (2012-2015), postdoctoral researcher at the Ecole Polytechnique Fédérale de Lausanne (2015-2017), and postdoctoral researcher at the University of São Paulo (2017-2019). Currently a Professor at Ilum - School of Sciences at the National Center for Research in Energy and Materials (Ilum-CNPEM). Experienced in atomistic, classical, and quantum computational simulations, as well as in machine learning and natural language processing. (Source: Lattes Curriculum)
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The current energy scenario in the world is in a process of energy transition, originated by the finiteness of fossil fuels and their environmental impacts, so renewable energies have been gaining ground, but they face problems of seasonality and intermittency. Therefore, it is essential to generate clean and efficient forms of energy storage. This project aims to find new catalysts for t…
The aim of this project is to study platinum (Pt) nanoparticles as catalysts for the hydrogen evolution reaction (HER) through computational simulations. HER is a fundamental process for hydrogen production, being a renewable and clean energy source. However, platinum is an expensive and scarce material, limiting its large-scale adoption.In this project, Density Functional Theory (DFT) si…
Carbon dioxide (CO2) is one of the main greenhouse gases responsible for climate change, being excessively emitted into the atmosphere daily due to human activity. The electrochemical reduction of CO2 (CO2RR) emerges as a promising solution to mitigate these effects by converting CO2 into useful compounds. However, this process is energetically costly, and the efficiency varies depending …
In this project, the previously acquired knowledge of the student will be applied to the development of a pre-salt crude oil digital model. With the model, classical molecular dynamics (MD) will be performed, to obtain the interfacial tensions (IFT) between water/surfactant/oil interfaces. With the data, a database will be built, to feed supervised machine learning (ML) models for IFT pre…
| 3 / 3 | Ongoing scholarships in Brazil |
| 1 / 1 | Completed scholarships in Brazil |
| 4 / 4 | All Scholarships |
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