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Carine Menezes Rebello

norwegian university of science and technology

14H-index
58Paper Count
429Citation Count
Published Papers 21
Publication Date
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Process flowsheet optimization integrating mixed-integer programming and surrogate models with adaptive uncertainty
errChemical Engineering Science
IF4.3
err2026-08-24
err0
PREAI
errIbrahim Mert Kahraman; Carine Menezes Rebello; Idelfonso B.R. Nogueira; M. Enis Leblebici; Hasan Sildir
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Water Consumption in Hydrogen Production Through Electrolysis: Overview, State-of-the-Art, and Future Trends
errWIREs Energy and Environment
IF14.6
err2026-05-22
err0
errOAAI
errAntonio Santos Sánchez; Gleizer Vitor Nonato; André Luis Silva; Idelfonso Bessa dos Reis Nogueira; Carine Menezes Rebello; Diego Lima Medeiros; Julian David Hunt
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Offset-free Lyapunov-based stabilising robust nonlinear control using data-driven model: A nonlinear multi-model computationally efficient approach
errControl Engineering Practice
IF4.6
err2026-04-23
err0
PREAI
errCarine Menezes Rebello; Erbet Almeida Costa; Idelfonso B.R. Nogueira
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An Agent-Based Modeling Dynamic Hybrid Model for Project Management in Research and Development
errIndustrial & Engineering Chemistry Research
IF0
err2026-02-26
err0
errOAAI
errRobson Wilson Silva Pessoa; Marie Hahn Naess; Julia Carolina Bijos; Carine Menezes Rebello; Danilo Colombo; Leizer Schnitman; Idelfonso B. R. Nogueira
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The relationship between diffusion coefficient and ion conductivity in solid-state electrolytes using feedforward neural networks and symbolic regression
errJournal of Power Sources
IF7.9
err2025-08-14
err0
PREAI
errIgor Gabriel Ito Iwakiri; João Vítor M.A. Silva; Nuno M. Delgado; Fernando Arrais R.D. Lima; Carine Menezes Rebello; Maurício B. de Souza Jr.; Idelfonso B.R. Nogueira
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Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization
errchemical engineering and processing process intensification
IF0
err2025-05-19
err0
PREAI
errFernando Arrais R.D. Lima; Marcellus G.F. de Moraes; Carine Menezes Rebello; Amaro G. Barreto; Argimiro R. Secchi; Maurício B. de Souza; Idelfonso B.R. Nogueira
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Interpretable Scientific Machine Learning Approach for Correcting Phenomenological Models: Methodology Validation on an ESP Prototype
errINDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
IF3.9
err2024-10-25
err0
errOAAI
errRebello, Carine Menezes; Costa, Erbet Almeida; Fontana, Marcio; Schnitman, Leizer; Nogueira, Idelfonso B. R.
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errSave
Optimizing CO2 capture in pressure swing adsorption units: A deep neural network approach with optimality evaluation and operating maps for decision-making
errSEPARATION AND PURIFICATION TECHNOLOGY
IF9
err2024-07-01
err6
PREAI
errRebello, Carine Menezes; Nogueira, Idelfonso B. R.
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Harnessing graph neural networks to craft fragrances based on consumer feedback
errCOMPUTERS & CHEMICAL ENGINEERING
IF3.9
err2024-06-01
err3
errOAAI
errRodrigues, Bruno C. L.; Santana, Vinicius V.; Queiroz, Luana P.; Rebello, Carine M.; Nogueira, Idelfonso B. R.
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Augmented reality for chemical engineering education
errEDUCATION FOR CHEMICAL ENGINEERS
IF2.3
err2024-04-01
err2
errOAAI
errRebello, Carine Menezes; Deiro, Gabriela Fontes; Knuutila, Hanna K.; de Souza Moreira, Lorena Claudia; Nogueira, Idelfonso B. R.
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errSave
PUFFIN: A path-unifying feed-forward interfaced network for vapor pressure prediction
errCHEMICAL ENGINEERING SCIENCE
IF4.3
err2024-03-01
err4
errOAAI
errSantana, Vinicius Viena; Rebello, Carine Menezes; Queiroz, Luana P.; Ribeiro, Ana Mafalda; Shardt, Nadia; Nogueira, Idelfonso B. R.
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errSave
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network
errHELIYON
IF3.6
err2024-01-01
err4
errOAAI
errCosta, Erbet Almeida; Rebello, Carine de Menezes; Santana, Vinicius Viena; Reges, Galdir; Silva, Tiago de Oliveira; de Abreu, Odilon Santana Luiz; Ribeiro, Marcos Pellegrini; Foresti, Bernardo Pereira; Fontana, Marcio; Nogueira, Idelfonso Bessa dos Reis; Schnitman, Leizer
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Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
errCHEMICAL ENGINEERING SCIENCE
IF4.3
err2023-12-01
err5
errOAAI
errSantana, Vinicius V.; Costa, Erbet; Rebello, Carine M.; Ribeiro, Ana Mafalda; Rackauckas, Christopher; Nogueira, Idelfonso B. R.
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errSave
Improved modeling of crystallization processes by Universal Differential Equations
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2023-12-01
err6
PREAI
errLima, Fernando Arrais R. D.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; de Moares, Marcellus G. F.; Barreto Jr, Amaro G.; Secchi, Argimiro R.; de Souza Jr, Mauricio B.; Nogueira, Idelfonso B. R.
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errSave
Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis
errINDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
IF3.9
err2023-10-04
err2
errOAAI
errSantos, Rodrigo V. A.; Rebello, Carine; Prudente, Anderson; Santana, Vinicius V.; Ferreira, Alexandre F. P.; Ribeiro, Ana M.; Pontes, Karen V.; Nogueira, Idelfonso B. R.
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Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements
errINDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
IF3.9
err2023-05-30
err10
errOAAI
errQueiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; Rodrigues, Bruno C. L.; Rodrigues, Alirio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.
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Metaheuristic Framework for Material Screening and Operating Optimization of Adsorption-Based Heat Pumps
errACS OMEGA
IF4.3
err2023-05-23
err1
errOAAI
errSilva, Beatriz C.; Rebello, Carine Menezes; Rodrigues, Aliïrio E.; Ribeiro, Ana M.; Ferreira, Alexandre F. P.; Nogueira, Idelfonso B. R.
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errSave
Generating Flavor Molecules Using Scientific Machine Learning
errACS OMEGA
IF4.3
err2023-03-15
err8
errOAAI
errQueiroz, Luana P.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; Rodrigues, Bruno C. L.; Rodrigues, Alirio E.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.
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A novel nested loop optimization problem based on deep neural networks and feasible operation regions definition for simultaneous material screening and process optimization
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2022-04-01
err12
errOAAI
errNogueira, Idelfonso B. R.; Dias, Rafael O. M.; Rebello, Carine M.; Costa, Erbet A.; Santana, Vinicius V.; Rodrigues, Alirio E.; Ferreira, Alexandre; Ribeiro, Ana M.
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A novel standpoint of Pressure Swing Adsorption processes multi-objective optimization: An approach based on feasible operation region mapping
errCHEMICAL ENGINEERING RESEARCH & DESIGN
IF3.9
err2022-02-01
err16
PREAI
errRebello, Carine M.; Martins, Marcio A. F.; Rodrigues, Alirio E.; Loureiro, Jose M.; Ribeiro, Ana M.; Nogueira, Idelfonso B. R.
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Research Directions

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Co-authors
Cooperation Journals
A
Alírio E. Rodrigues‬
H-index: 100 · Papers: 1.1K
J
José M. Loureiro
H-index: 49 · Papers: 241
A
Ana M. Ribeiro
H-index: 41 · Papers: 220
A
Alexandre Ferreira
H-index: 38 · Papers: 158
J
Julian David Hunt
H-index: 33 · Papers: 190
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