Works by Santana, Vinicius V.

Results: 8

A Reinforcement Learning Framework to Discover Natural Flavor Molecules.

Published in:

Foods, 2023, v. 12, n. 6, p. 1147, doi. 10.3390/foods12061147

By:

Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Nogueira, Idelfonso B. R.

Publication type:

Article

Improved modeling of crystallization processes by Universal Differential Equations.

Published in:

Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2023, v. 200, p. 538, doi. 10.1016/j.cherd.2023.11.032

By:

Lima, Fernando Arrais R.D.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Moares, Marcellus G.F. de;
Barreto, Amaro G.;
Secchi, Argimiro R.;
Souza, Maurício B. de;
Nogueira, Idelfonso B.R.

Publication type:

Article

A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization.

Published in:

Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2022, v. 180, p. 243, doi. 10.1016/j.cherd.2022.02.013

By:

Nogueira, Idelfonso B.R.;
Dias, Rafael O.M.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinicius V.;
Rodrigues, Alírio E.;
Ferreira, Alexandre;
Ribeiro, Ana M.

Publication type:

Article

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

Published in:

ChemEngineering, 2022, v. 6, n. 2, p. 21, doi. 10.3390/chemengineering6020021

By:

Santana, Vinicius V.;
Gama, Marlon S.;
Loureiro, Jose M.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Tavares, Frederico W.;
Barreto Jr., Amaro G.;
Nogueira, Idelfonso B. R.

Publication type:

Article

Mapping Uncertainties of Soft-Sensors Based on Deep Feedforward Neural Networks through a Novel Monte Carlo Uncertainties Training Process.

Published in:

Processes, 2022, v. 10, n. 2, p. 409, doi. 10.3390/pr10020409

By:

Costa, Erbet A.;
Rebello, Carine M.;
Santana, Vinicius V.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Schnitman, Leizer;
Nogueira, Idelfonso B. R.

Publication type:

Article

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

Published in:

Processes, 2022, v. 10, n. 2, p. 250, doi. 10.3390/pr10020250

By:

Rebello, Carine M.;
Marrocos, Paulo H.;
Costa, Erbet A.;
Santana, Vinicius V.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Nogueira, Idelfonso B. R.

Publication type:

Article

A Hybrid Modeling Framework for Membrane Separation Processes: Application to Lithium-Ion Recovery from Batteries.

Published in:

Processes, 2021, v. 9, n. 11, p. 1939, doi. 10.3390/pr9111939

By:

Regufe, Maria João;
Santana, Vinicius V.;
Ferreira, Alexandre F. P.;
Ribeiro, Ana M.;
Loureiro, José M.;
Nogueira, Idelfonso B. R.

Publication type:

Article

Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems.

Published in:

Canadian Journal of Chemical Engineering, 2022, v. 100, n. 9, p. 2279, doi. 10.1002/cjce.24495

By:

B. R. Nogueira, Idelfonso;
V. Santana, Vinicius;
Ribeiro, Ana M.;
Rodrigues, Alírio E.

Publication type:

Article