M. (Marina) Alves Maia MSc
M. (Marina) Alves Maia MSc
Profile
Biography
Marina received her bachelor's degree in Civil Engineering from Universidade Federal do Ceará in 2017, where she also obtained her master's degree in 2020. Her research interests focused on composite materials (laminated and functionally graded materials) and optimization algorithms. In her master's thesis, Marina explored the use of machine learning techniques to support and speed-up the optimization of composite structures. She started her PhD research in "Physics-informed machine learning material surrogates" in 2021 at TU Delft.
Expertise
Publications
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2023
Physically recurrent neural networks for path-dependent heterogeneous materials
Embedding constitutive models in a data-driven surrogate
M. A. Maia / I. B.C.M. Rocha / P. Kerfriden / F. P. van der Meer -
2022
BIOS
an object-oriented framework for Surrogate-Based Optimization using bio-inspired algorithms
Elias Saraiva Barroso / Leonardo Gonçalves Ribeiro / Marina Alves Maia / I.B.C.M. Rocha / Evandro Parente / Antônio Macário Cartaxo de Melo -
2022
Neural networks meet physics-based material models
Accelerating concurrent multiscale simulations of path-dependent composite materials
M. Alves Maia / I.B.C.M. Rocha / F.P. van der Meer -
2021
Kriging-based optimization of functionally graded structures
M. Alves Maia / Evandro Parente Junior / Antonio de Melo
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Ancillary activities
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2023-02-01 - 2025-02-01