Vinícius V. Santana

A First Approach towards Adsorption-Oriented Physics-Informed Neural Networks: Monoclonal Antibody Adsorption Performance on an Ion-Exchange Column as a Case Study

Vinícius V. Santana, Marlon de Souza Gama, José M. Loureiro et al. · ChemEngineering · 2022 · 29 citations · Full text

Numerical Analysis, Artificial Intelligence, Engineering +19

Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach

Vinícius V. Santana, Márcio A.F. Martins, José M. Loureiro et al. · Computers & Chemical Engineering · 2021 · 24 citations

Sensory Science, Optimal Fragrances Formulation, Sensometrics +1

Machine Learning-Based Dynamic Modeling for Process Engineering Applications: A Guideline for Simulation and Prediction from Perceptron to Deep Learning

Carine Menezes Rebello, Paulo H. Marrocos, Érbet Almeida Costa et al. · Processes · 2022 · 21 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +18

A Reinforcement Learning Framework to Discover Natural Flavor Molecules

Luana P. Queiroz, Carine Menezes Rebello, Érbet Almeida Costa et al. · Foods · 2023 · 20 citations · Full text

Artificial Intelligence, Discovery Technique, Engineering +15

Generating Flavor Molecules Using Scientific Machine Learning

Luana P. Queiroz, Carine Menezes Rebello, Érbet Almeida Costa et al. · ACS Omega · 2023 · 20 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20