CV Lattes
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Ministério da Ciência, Tecnologia e Inovação (Brasil). Centro Nacional de Pesquisa em Energia e Materiais (CNPEM) (Institutional affiliation from the last research proposal) Birthplace: Brazil
graduate at Physic from Universidade de Brasília (1972), master's at Physic from Universidade de Brasília (1975) and ph.d. at Physic from Universidade de São Paulo (1978). Has experience in Physic, focusing on Physics Of The Condensed State Of Substance, acting on the following subjects: gaas, metastability, nanoestrutura, clusters and complex defects. (Source: Lattes Curriculum)
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Advances in many technologies such as renewable and sustainable energy, quantum computation, data storage, and different types of sensors for applications ranging from health to agriculture, depend on our ability to design and realize materials with desired/optimal properties. In this perspective, materials discovery and design intimately depend on joint efforts between materials simulati…
Among different experimental techniques of surface analysis with atomic resolution, the set of techniques broadly known as "scanning probe microscopies" (SPM) stand out. In particular, "scanning tunneling microscopy" (STM) and "atomic force microscopy" (AFM), became very popular techniques in this field. Although atomic and subatomic resolution in STM has been achieved since the 1980's, c…
Purchase of an HPC Cluster (8 nodes with 256 processors and 192 GB RAM each), mainly to meet the demands of three National Laboratories of the Brazilian Center for Research in Energy and Materials (CNPEM), Brazilian Nanotechnology National Laboratory (LNNano), Brazilian Bioethanol Science and Technology Laboratory (CTBE) and Brazilian Biosciences National Laboratory (LNBio) in projects i…
Topological insulators are a class of materials in which there is a strong coupling between momentum and spin degrees of freedom. This leads to a fundamentally new state of matter in, which the presence of a surface creates a topologically protected metallic state. Surface states make electronic motion insensitive to scattering by impurities.Our Project with Prof. Schmidt deals primarily…
(Only some records are available in English at this moment)
Ab initio molecular dynamics has been employed to construct amorphous materials, involving thegeneration of an amorphous system within (i) periodic cells, (ii) using a constant volume orpressure ensemble, (iii) applying a thermal ramp to mimic experimental conditions, and (iv)employing a specific time step for dynamic evolution. These methods face challenges such as theneed for large peri…
The aim of this project is to apply artificial intelligence (AI) tools to predict the vacancy formation energy in 2D materials. These materials are promising for various technological applications, such as flexible electronics and catalysis, and understanding their structural defect properties, like vacancies, is essential for the development of efficient devices. (AU)
This project aims to apply artificial intelligence (AI) tools to predict the most stable stacking geometry in bilayers of 2D materials. 2D materials have attracted great interest due to their unique electronic and mechanical properties, with bilayer stacking being a key factor in modulating these properties. Understanding how these layers organize into a stable structure is essential for …
(Only some records are available in English at this moment)
The current interest in topological materials is transiting from a more fundamental exploration tothe direct application and design of new functionalities. Spintronics is the key application oftopological insulators, given its helical surface states protected from backscattering by symmetry, namely a spin-momentum locking. Currently, studies focused only on the existence of thetopological…
Nano-heterostructures composed of 2D perovskites, MXenes, among other materials present promising electronic and optical properties for applications such as solar cells, photodetectors, and other optoelectronic devices. Herein, the present research project seeks to perform a comprehensive study based on density functional theory (DFT) and data-driven approaches such as machine learning to…
Recently, the climatic and economic changes of the world have lead to a search for materials more energetically efficient. Within this scenario, two-dimensional materials and topological phases of matter are prominent candidates to fulfill this task. Currently, topological materials are transiting from the theoretical physics to the experimental chemistry, where focused applications regar…
(Only some records are available in English at this moment)
When released into the environment, nanomaterials engage in interactions with the present organic and metals pollutants altering their bioavailability and resulting in complicated mixture toxicity effects. Biomolecular coronas formed upon the release significantly affect this process, competing with pollutants for surface interaction sites or multiplying the possibilities of interactions.…
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…
A main basic-science objective of spintronics is to understand the mechanisms by which it is possible to achieve efficient control of both spin configurations and spin currents. The generation of spin currents, spin injections and spin conservation is mediated by the Spin-Orbit Coupling (SOC) mainly via the Rashba effect and/or the topological effects. Therefore, the search for systems wi…
| 1 / 1 | Ongoing grants |
| 34 / 17 | Completed research grants |
| 4 / 4 | Ongoing scholarships in Brazil |
| 26 / 13 | Completed scholarships in Brazil |
| 3 / 3 | Completed scholarships abroad |
| 68 / 38 | All research grants and scholarships |
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