Publications by authors named "Maicon Pierre Lourenco"
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Synopsis of recent research by authors named "Maicon Pierre Lourenco"
- Maicon Pierre Lourenco's recent research focuses on the application of advanced machine learning techniques, such as reinforcement learning and active learning, for optimizing the design and discovery of materials, with a particular emphasis on nanocatalysts, molecular structures, and new semiconductor allotropes.
- His studies include investigations into Ni-Ceria nanoparticles for catalytic applications, the structural determination of adsorbate-substrate systems, and the structural stability of two-dimensional perovskite-type materials, all utilizing computational methods like density functional theory (DFT).
- Lourenco has developed and introduced new software tools, including QMLMaterial and GAMaterial, which leverage quantum and genetic algorithms for automated structural elucidation, addressing challenges in finding optimal chemical structures for various materials and chemical systems.