Fabio Vinicius Goes Amaral in research grants and scholarships supported by FAPESP.
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Computational simulations of complex problems governed by differential equations have been significantly improved with advances in Artificial Intelligence (AI) techniques, which can be combined with classical numerical methods. In the current proposal, different AI techniques will be investigated, such as Machine/Deep Learning (ML/DL), Physics Informed Neural Network (PINN), Convolutional…
In this project, we will analyses theoretical aspects and we will implement computational methods for computing inverses of tridiagonal matrices. In the first stage of this project, the study will be directed for a special type of tridiagonal matrices: Symmetric and Positive Definite (SPD). The student will investigate a matrix decomposition which can be applied for efficiently obtaining …
In this project we will investigate the combination of Sparse Identification Non-linear Dynamics (SINDy) and AutoEncoders (AE) for studying viscoelastic fluid flows. SINDy is a valuable tool for identifying the governing equations of a system based on observational data, while AE can generate reduced-order models that make solving fluid flow problems more computationally efficient. This c…
| 1 / 1 | Ongoing scholarships in Brazil |
| 1 / 1 | Completed scholarships in Brazil |
| 1 / 1 | Completed scholarships abroad |
| 3 / 3 | All Scholarships |
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