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From oil to neural networks: scholarship recipients present seminar.

Four IMPA scholarship holders are participating this Wednesday (7) in the Institutional Capacity Building Program (PCI) Evaluation Seminar. The presentations start at 1 pm in room 232 and can also be followed on youtube.

The PCI is a program sponsored by the Ministry of Science, Technology and Innovation (MCTI) that offers technological development grants to enable the execution of scientific and technological projects. The presentations aim to share the advances achieved in different types of research.

Fellow and postdoctoral researcher Marlon Michael López will address the topic " Innovative Algorithms and Software for Flow Calculation in Oil Reservoirs." He will present a new technique developed from mathematical models, capable of solving problems involving the flow of water, oil, and supercritical carbon dioxide in a spatial dimension. This work has applications in optimizing the extraction of pre-salt oil at high pressures, for example.

“It’s a problem that began to be studied 40 years ago. We are trying to achieve expressions about the behavior of fluids, such as water, oil, and gas, in a porous medium. Before, we had software that generated numerical expressions and 2D visualizations of this behavior. Now, we can achieve 3D visualizations.”

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With the theme, “Neural Implicit Representations: MR-Net – Multiresolution Neural Networks in Images”, Fábio Suim Chagas will discuss a new framework for representing multiresolution images using coordinate-based sinusoidal neural networks. Meanwhile, fellow Tiago Novello de Brito will present his research on the use of smooth neural networks in modeling implicit surfaces, surface animation, functions on surfaces, and images.

“In this seminar, we will focus on representing surfaces through sets of neural network levels. To do this, we will present a method that explores the differential geometry of these sets during network training,” he described.

Fellow Marcos Vinícius Araújo Sá will speak about "Phase transition in percolation models in random environments".

Created in 1997, the Institutional Capacity Building Program (PCI) aims to implement Institutional Capacity Building subprograms in research units subordinate to, linked to, and supervised by the Ministry of Science, Technology and Innovation – MCTI.

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