Idelfonso Nogueira
+4773592399
Kjemi 4, 232, Gløshaugen
About
Research
I seek to promote synergy between new technologies and classical strategies for developing disruptive solutions to face modern society's challenges, focusing on merging artificial intelligence, advanced control, systems optimization, digitalization and automation. My research has four main branches working together to promote a new and sustainable industry. I call the synergy between these branches, AiP2S2 (Artificial Intelligence-powered Products, Processes, Scales and Systems). I can briefly list them as follows:
- Developing products: This branch seeks to develop new products using the Process Systems Engineering perspective. The main question is: How can Artificial Intelligence and Control theory be used to prospect new product solutions never seen before?
- Operating processes: This branch addresses two main questions. The first one is: How can Artificial Intelligence be developed in an interpretable, robust and reliable way to help Process System Engineering in an Industry 4.0/5.0 scenario? The second question is: How can we combine Systems Control, Optimization and Artificial Intelligence while guaranteeing stability, robustness and stable integration?
- Bridging scales: This branch develops a new way to observe the system—a way to consider the phenomena and the process in the same frame. Thus, the main question here is: How to integrate the processes' fundamental, design and operating scales to optimize and control both simultaneously?
- Connecting systems: We live in a dynamic society that requires solutions for its challenges in time. How can the industry quickly adapt to face these challenges? This is the question that we want to solve at this branch.
I see multidisciplinarity and collaboration with other fields and perspectives as essential to developing these research branches. In this way, I m collaborating with several universities, institutes and industries worldwide. Furthermore, I am also pursuing the promotion of innovative teaching activities to prepare future engineers to face the Industry 4.0/5.0 challenges.
Educational background
- 2018 - Ph.D. in Chemical and Biological Engineering Faculty of Engineering, Department of Chemical Engineering, University of Porto, Portugal.
- 2016-2018 - Visiting Ph.D. researcher, Tampere University of Technology, Department of Automation Science and Engineering, Finland.
- 2016 - Master in Industrial Engineering, Postgraduation Program in Industrial Engineering, Federal University of Bahia, Brazil.
- 2012 - Master in Chemical, Engineering Faculty of Engineering, Department of Chemical Engineering, University of Porto, Portugal.
Publications
I have published over 60 manuscripts, ∼70% in Q1 Scimago rank and ∼25% in Q2 Scimago rank. 2 book chapters— 490 citations, h-index: 12 (source GoogleScholar).
· List of selected publications:
[1] I.B.R. Nogueira, R.O.M. Dias, C.M. Rebello, E.A. Costa, V. V. Santana, A.E. Rodrigues, A. Ferreira, A.M. Ribeiro, A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization, Chem. Eng. Res. Des. 180 (2022) 243–253. doi:10.1016/j.cherd.2022.02.013.
[2] M.P. Silva, A.M. Ribeiro, C.G. Silva, G. Narin, I.B.R. Nogueira, U.H. Lee, J.L. Faria, J.M. Loureiro, J.S. Chang, A.E. Rodrigues, A. Ferreira, Water vapor harvesting by a (P)TSA process with MIL-125(Ti)_NH2 as adsorbent, Sep. Purif. Technol. 237 (2020). doi:10.1016/j.seppur.2019.116336.
[3] M.J. Regufe, V. V. Santana, M.M. Martins, A.F.P. Ferreira, J.M. Loureiro, A.E. Rodrigues, A.M. Ribeiro, I.B.R. Nogueira, Adsorption material composition and process optimization, a systematical approach based on Deep Learning, IFAC-PapersOnLine. 54 (2021) 43–48. doi:10.1016/j.ifacol.2021.08.216.
[4] I. B. R. Nogueira, V. V. Santana, A.M. Ribeiro, A.E. Rodrigues, Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems, Can. J. Chem. Eng. 100 (2022) 2279–2290. doi:10.1002/cjce.24495.
[5] V. V. Santana, M.A.F. Martins, J.M. Loureiro, A.M. Ribeiro, A.E. Rodrigues, I.B.R. Nogueira, Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach, Comput. Chem. Eng. 150 (2021) 107344. doi:10.1016/j.compchemeng.2021.107344.
[6] M.A.F. Martins, A.E. Rodrigues, J.M. Loureiro, A.M. Ribeiro, I.B.R. Nogueira, Artificial Intelligence-oriented economic non-linear model predictive control applied to a pressure swing adsorption unit: Syngas purification as a case study, Sep. Purif. Technol. 276 (2021) 119333. doi:10.1016/j.seppur.2021.119333.
[7] Luana P Queiroz, Carine M Rebello, Erbet A Costa, Vinícius V Santana, Bruno CL Rodrigues, Alírio E Rodrigues, Ana M Ribeiro, Idelfonso BR Nogueira, A Reinforcement Learning Framework to Discover Natural Flavor Molecules, Foods. 12 (2023). doi: 10.3390/foods12061147.
[8] L.P. Queiroz, C.M. Rebello, E.A. Costa, V. V. Santana, B.C.L. Rodrigues, A.E. Rodrigues, A.M. Ribeiro, I.B.R. Nogueira, Generating favours molecules using scientific machine learning, (2022). doi: 10.1021/acsomega.2c07176.
[9] I.B.R. Nogueira, R.M. Fontes, A.M. Ribeiro, K.V. Pontes, M. Embiruçu, M.A.F. Martins, A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process, Comput. Chem. Eng. 133 (2020). doi:10.1016/j.compchemeng.2019.106664.
[10] C.M. Rebello, M.A.F. Martins, J.M. Loureiro, A.E. Rodrigues, A.M. Ribeiro, I.B.R. Nogueira, From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy, Mathematics. 9 (2021) 1808. doi:10.3390/math9151808.
2024
-
Mendes, Teófilo Paiva Guimarães;
Ribeiro, Ana Mafalda;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2024)
A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process.
Processes
Academic article
-
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Optimizing CO<inf>2</inf> capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making.
Separation and Purification Technology
Academic article
-
Santana, Vinícius V.;
Carmo, Paulo;
Seabra, Rute;
Rodrigues, Alírio E.;
Ribeiro, Ana Mafalda;
B. R. Nogueira, Idelfonso.
(2024)
Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8.
Industrial & Engineering Chemistry Research
Academic article
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
B. R. Nogueira, Idelfonso.
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Academic article
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2024)
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.
Engineering Applications of Artificial Intelligence
Academic article
-
de Menezes Rebello, Carine;
Deiró, Gabriela Fontes;
Knuutila, Hanna Katariina;
Moreira, Lorena Claudia de Souza;
B. R. Nogueira, Idelfonso.
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Academic article
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius;
Reges, Galdir;
de Oliveira Silva, Tiago;
Santana Luiz de Abreu, Odilon.
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Academic article
-
Lim, Myung Kyun;
Yun, Ji Sub;
Cho, Kyung Ho;
Yoon, Ji Woong;
Lee, U-Hwang;
Ferreira, Alexandre.
(2024)
Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation.
Journal of Industrial and Engineering Chemistry
Academic article
-
Prudente, Anderson N.;
Santos, Rodrigo V.A.;
Ribeiro, Ana M.;
Pontes, Karen V.;
B. R. Nogueira, Idelfonso.
(2024)
An integrated approach for parameter estimation of a propyl propionate synthesis model.
Chemical engineering research & design
Academic article
-
Rodrigues, Bruno C.L.;
Santana, Vinicius Viena;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Academic article
-
Rodrigues, Bruno;
Santana, Vinicius Viena;
Murins, Sandris;
B. R. Nogueira, Idelfonso.
(2024)
Molecule Generation and Optimization for Efficient Fragrance Creation.
Industrial & Engineering Chemistry Research
Academic article
-
Queiroz, L.P.;
B. R. Nogueira, Idelfonso;
Ribeiro, A.M..
(2024)
Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics.
Food Research International
Academic literature review
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
B. R. Nogueira, Idelfonso.
(2024)
Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization.
Canadian Journal of Chemical Engineering
Academic article
-
Ito Iwakiri, Igor Gabriel;
Delgado, Nuno M.;
B. R. Nogueira, Idelfonso.
(2024)
Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics.
Electrochimica Acta
Academic article
2023
-
Sánchez, Antonio Santos;
Junior, Euripedes Pontes;
Gontijo, Bernardo Machado;
de Jong, Pieter;
B. R. Nogueira, Idelfonso.
(2023)
Replacing fossil fuels with renewable energy in islands of high ecological value: The cases of Galápagos, Fernando de Noronha, and Príncipe.
Renewable and Sustainable Energy Reviews
Academic literature review
-
Costa, Erbet Almeida;
Rebello, Carine de Menezes;
Fontana, Márcio;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2023)
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models.
Mathematics
Academic article
-
Yun, Ji Sub;
Cho, Kyung Ho;
Lim, Myung Kyun;
Yoon, Ji Woong;
Ferreira, Alexandre;
Ribeiro, Ana Mafalda.
(2023)
Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)<inf>2</inf> MOF.
Separation and Purification Technology
Academic article
-
Silva, Beatriz C.;
Rebello, Carine Menezes;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Ferreira, Alexandre F. P.;
B. R. Nogueira, Idelfonso.
(2023)
Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps.
ACS Omega
Academic article
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
A Reinforcement Learning Framework to Discover Natural Flavor Molecules.
Foods
Academic article
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Generating Flavor Molecules Using Scientific Machine Learning.
ACS Omega
Academic article
-
Martins, Márcio A.F.;
Rodrigues, Alírio E.;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy.
Separation and Purification Technology
Academic article
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Academic article
-
de Souza Gama, Marlon;
Lima, Fernando Arrais Romero Dias;
Santana, Vinícius Viena;
B. R. Nogueira, Idelfonso;
Tavares, Frederico Wanderley;
Barreto Júnior, Amaro Gomes.
(2023)
A parallel hybrid model for integrating protein adsorption models with deep neural networks.
Adsorption
Academic article
-
Oliveira, Luis M.C.;
Santana, Vinícius V.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning.
Heliyon
Academic article
-
Lima, Fernando;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro.
(2023)
Improved modeling of crystallization processes by Universal Differential Equations
.
Chemical engineering research & design
Academic article
-
Santana, Vinicius V.;
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
B. R. Nogueira, Idelfonso.
(2023)
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
Chemical Engineering Science (CES)
Academic article
-
Santos, Rodrigo V. A.;
Rebello, Carine;
Prudente, Anderson;
Santana, Vinicius V.;
Ferreira, Alexandre F. P.;
Ribeiro, Ana M..
(2023)
Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis.
Industrial & Engineering Chemistry Research
Academic article
2022
-
Santana, Vinícius V.;
Martins, Márcio A. F.;
Loureiro, José M.;
Ribeiro, Ana M.;
Queiroz, Luana P.;
Rebello, Carine M..
(2022)
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee.
ACS Omega
Academic article
Journal publications
-
Mendes, Teófilo Paiva Guimarães;
Ribeiro, Ana Mafalda;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2024)
A PLC-Embedded Implementation of a Modified Takagi–Sugeno–Kang-Based MPC to Control a Pressure Swing Adsorption Process.
Processes
Academic article
-
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Optimizing CO<inf>2</inf> capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making.
Separation and Purification Technology
Academic article
-
Santana, Vinícius V.;
Carmo, Paulo;
Seabra, Rute;
Rodrigues, Alírio E.;
Ribeiro, Ana Mafalda;
B. R. Nogueira, Idelfonso.
(2024)
Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal-Organic Framework─DUT-8.
Industrial & Engineering Chemistry Research
Academic article
-
Santana, Vinicius;
Rebello, Carine Menezes;
Queiroz, Luana P.;
Ribeiro, Ana Mafalda;
Shardt, Nadia;
B. R. Nogueira, Idelfonso.
(2024)
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction.
Chemical Engineering Science (CES)
Academic article
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Schnitman, Leizer;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2024)
Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance.
Engineering Applications of Artificial Intelligence
Academic article
-
de Menezes Rebello, Carine;
Deiró, Gabriela Fontes;
Knuutila, Hanna Katariina;
Moreira, Lorena Claudia de Souza;
B. R. Nogueira, Idelfonso.
(2024)
Augmented reality for chemical engineering education.
Education for Chemical Engineers
Academic article
-
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Santana, Vinicius;
Reges, Galdir;
de Oliveira Silva, Tiago;
Santana Luiz de Abreu, Odilon.
(2024)
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network.
Heliyon
Academic article
-
Lim, Myung Kyun;
Yun, Ji Sub;
Cho, Kyung Ho;
Yoon, Ji Woong;
Lee, U-Hwang;
Ferreira, Alexandre.
(2024)
Multi-objective optimization of ANN-based vacuum pressure swing adsorption process for ethane and ethylene separation.
Journal of Industrial and Engineering Chemistry
Academic article
-
Prudente, Anderson N.;
Santos, Rodrigo V.A.;
Ribeiro, Ana M.;
Pontes, Karen V.;
B. R. Nogueira, Idelfonso.
(2024)
An integrated approach for parameter estimation of a propyl propionate synthesis model.
Chemical engineering research & design
Academic article
-
Rodrigues, Bruno C.L.;
Santana, Vinicius Viena;
Queiroz, Luana P.;
de Menezes Rebello, Carine;
B. R. Nogueira, Idelfonso.
(2024)
Harnessing graph neural networks to craft fragrances based on consumer feedback.
Computers and Chemical Engineering
Academic article
-
Rodrigues, Bruno;
Santana, Vinicius Viena;
Murins, Sandris;
B. R. Nogueira, Idelfonso.
(2024)
Molecule Generation and Optimization for Efficient Fragrance Creation.
Industrial & Engineering Chemistry Research
Academic article
-
Queiroz, L.P.;
B. R. Nogueira, Idelfonso;
Ribeiro, A.M..
(2024)
Flavor Engineering: A comprehensive review of biological foundations, AI integration, industrial development, and socio-cultural dynamics.
Food Research International
Academic literature review
-
de Menezes Rebello, Carine;
Almeida Costa, Erbet;
Sánchez, Antonio Santos;
Vides, Fredy;
B. R. Nogueira, Idelfonso.
(2024)
Assuring optimality in surrogate-based optimization: A novel theorem and its practical implementation in pressure swing adsorption optimization.
Canadian Journal of Chemical Engineering
Academic article
-
Ito Iwakiri, Igor Gabriel;
Delgado, Nuno M.;
B. R. Nogueira, Idelfonso.
(2024)
Introducing a new model for solid-state batteries: Parameter estimation and sensitivity analysis on diffusion, concentration, and electrochemical kinetics.
Electrochimica Acta
Academic article
-
Sánchez, Antonio Santos;
Junior, Euripedes Pontes;
Gontijo, Bernardo Machado;
de Jong, Pieter;
B. R. Nogueira, Idelfonso.
(2023)
Replacing fossil fuels with renewable energy in islands of high ecological value: The cases of Galápagos, Fernando de Noronha, and Príncipe.
Renewable and Sustainable Energy Reviews
Academic literature review
-
Costa, Erbet Almeida;
Rebello, Carine de Menezes;
Fontana, Márcio;
Schnitman, Leizer;
B. R. Nogueira, Idelfonso.
(2023)
A Robust Learning Methodology for Uncertainty-Aware Scientific Machine Learning Models.
Mathematics
Academic article
-
Yun, Ji Sub;
Cho, Kyung Ho;
Lim, Myung Kyun;
Yoon, Ji Woong;
Ferreira, Alexandre;
Ribeiro, Ana Mafalda.
(2023)
Process modeling and optimization of vacuum pressure swing adsorption for ethane and ethylene separation using Cu(Qc)<inf>2</inf> MOF.
Separation and Purification Technology
Academic article
-
Silva, Beatriz C.;
Rebello, Carine Menezes;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
Ferreira, Alexandre F. P.;
B. R. Nogueira, Idelfonso.
(2023)
Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps.
ACS Omega
Academic article
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
A Reinforcement Learning Framework to Discover Natural Flavor Molecules.
Foods
Academic article
-
Queiroz, Luana P.;
Rebello, Carine M.;
Costa, Erbet A.;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Generating Flavor Molecules Using Scientific Machine Learning.
ACS Omega
Academic article
-
Martins, Márcio A.F.;
Rodrigues, Alírio E.;
Loureiro, José M.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
Handling model uncertainty in control of a pressure swing adsorption unit for syngas purification: A multi-model zone control scheme-based robust model predictive control strategy.
Separation and Purification Technology
Academic article
-
Queiroz, Luana P.;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinícius V.;
Rodrigues, Bruno C. L.;
Rodrigues, Alírio E..
(2023)
Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements.
Industrial & Engineering Chemistry Research
Academic article
-
de Souza Gama, Marlon;
Lima, Fernando Arrais Romero Dias;
Santana, Vinícius Viena;
B. R. Nogueira, Idelfonso;
Tavares, Frederico Wanderley;
Barreto Júnior, Amaro Gomes.
(2023)
A parallel hybrid model for integrating protein adsorption models with deep neural networks.
Adsorption
Academic article
-
Oliveira, Luis M.C.;
Santana, Vinícius V.;
Rodrigues, Alírio E.;
Ribeiro, Ana M.;
B. R. Nogueira, Idelfonso.
(2023)
A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning.
Heliyon
Academic article
-
Lima, Fernando;
Rebello, Carine Menezes;
Costa, Erbet Almeida;
Santana, Vinicius;
Moares, Marcellus;
Barreto, Amaro.
(2023)
Improved modeling of crystallization processes by Universal Differential Equations
.
Chemical engineering research & design
Academic article
-
Santana, Vinicius V.;
Costa, Erbet Almeida;
Rebello, Carine Menezes;
Ribeiro, Ana Mafalda;
Rackauckas, Christopher;
B. R. Nogueira, Idelfonso.
(2023)
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach.
Chemical Engineering Science (CES)
Academic article
-
Santos, Rodrigo V. A.;
Rebello, Carine;
Prudente, Anderson;
Santana, Vinicius V.;
Ferreira, Alexandre F. P.;
Ribeiro, Ana M..
(2023)
Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis.
Industrial & Engineering Chemistry Research
Academic article
-
Santana, Vinícius V.;
Martins, Márcio A. F.;
Loureiro, José M.;
Ribeiro, Ana M.;
Queiroz, Luana P.;
Rebello, Carine M..
(2022)
Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee.
ACS Omega
Academic article