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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Tiago Botari in research grants and scholarships supported by FAPESP.
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Over the last years, several important advances have occurred in the field artificial intelligence, particularly in machine learning. Different applications were developed in academia and industry. Deep learning, a class of machine learning algorithms, has demonstrated high capacity, with performance superior to that of state of the art techniques in tasks like image and voice recognition…
In this project we intend to investigate the tribological properties of graphene, boron nitride and silicene. Using molecular dynamics techniques coupled to reactive force fields (ReaxFF) we try to mimic the experimental conditions of atomic force microscopy experiments. We intend to investigate how these properties depend on the materials, number of layers, and morphological and dynamics…
Deep learning (DL), a class of machine learning algorithms, has demonstrated a high capacity to induce models in different knowledge domains. DL models are today considered state of the art in many applications, such as image and voice recognition, simulation of game players, among others. While DL models have presented high predictive accuracy in many real-world tasks, little is understo…
Finding materials with good (photo)electrochemical properties, especially 2D and related materials made from abundant elements, is one of the most promising challenges pursued in materials science today. To find or optimize new promising materials, simulations are a valuable tool since we can now: (i) Use theory to understand and rationalize atomistic processes that are difficult to tackl…
| 3 / 3 | Completed scholarships in Brazil |
| 2 / 2 | Completed scholarships abroad |
| 5 / 5 | All Scholarships |
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