Blar i NTNU Open på forfatter "Queiroz, Luana P."
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Generating Flavor Molecules Using Scientific Machine Learning
Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; B. R. Nogueira, Idelfonso (Journal article; Peer reviewed, 2023) -
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee
Santana, Vinícius V.; Martins, Márcio A. F.; Loureiro, José M.; Ribeiro, Ana M.; Queiroz, Luana P.; Rebello, Carine M.; Rodrigues, Alírio E.; B. R. Nogueira, Idelfonso (Peer reviewed; Journal article, 2023)Model-based optimization of simulated moving bed reactors (SMBRs) requires efficient solvers and significant computational power. Over the past years, surrogate models have been considered for such computationally demanding ... -
A Reinforcement Learning Framework to Discover Natural Flavor Molecules
Queiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinícius V.; Rodrigues, Bruno C. L.; Rodrigues, Alírio E.; Ribeiro, Ana M.; B. R. Nogueira, Idelfonso (Peer reviewed; Journal article, 2023)Flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and molecules are essential in this field. However, the development of ...