Idelfonso B. R. Nogueira

28 papers Journal 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MultiPUFFIN: A Multimodal Domain-Constrained Foundation Model for Molecular Property Prediction of Small Molecules. CoRR Idelfonso B. R. Nogueira, Carine de Menezes Rebello, Mumin Enis Leblebici, Erick Giovani Sperandio Nascimento
2025	J	`jnl`	A Hybrid Agent-Based and System Dynamics Framework for Modelling Project Execution and Technology Maturity in Early-Stage R&D. CoRR R. W. S. Pessoa, M. H. Næss, J. C. Bijos, Carine M. Rebello, D. Colombo, Leizer Schnitman, Idelfonso B. R. Nogueira
2025	J	`jnl`	Digital twins in chemical engineering: An integrated framework for identification, implementation, online learning, and uncertainty assessment. Comput. Chem. Eng. Carine Menezes Rebello, Idelfonso B. R. Nogueira
2025	J	`jnl`	Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. Comput. Chem. Eng. Patrick Lima, Erbet Almeida Costa, Teófilo P. G. Mendes, Leizer Schnitman, Sigurd Skogestad, Idelfonso B. R. Nogueira
2024	J	`jnl`	Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. Eng. Appl. Artif. Intell. Erbet Almeida Costa, Carine Menezes Rebello, Leizer Schnitman, José Miguel Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira
2024	J	`jnl`	Harnessing graph neural networks to craft fragrances based on consumer feedback. Comput. Chem. Eng. Bruno C. L. Rodrigues, Vinícius V. Santana, Luana P. Queiroz, Carine M. Rebello, Idelfonso B. R. Nogueira
2024	J	`jnl`	Molecule Generation and Optimization for Efficient Fragrance Creation. CoRR Bruno C. L. Rodrigues, Vinícius V. Santana, Sandris Murins, Idelfonso B. R. Nogueira
2023	J	`jnl`	Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry. CoRR Carine Menezes Rebello, Johannes Jäschke, Idelfonso B. R. Nogueira
2023	J	`jnl`	Dynamic financial processes identification using sparse regressive reservoir computers. CoRR Fredy Vides, Idelfonso B. R. Nogueira, Lendy Banegas, Evelyn Flores
2023	J	`jnl`	Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. CoRR Vinícius V. Santana, Erbet Almeida Costa, Carine M. Rebello, Ana M. Ribeiro, Chris Rackauckas, Idelfonso B. R. Nogueira
2023	J	`jnl`	Identifying Systems with Symmetries using Equivariant Autoregressive Reservoir Computers. CoRR Fredy Vides, Idelfonso B. R. Nogueira, Lendy Banegas, Evelyn Flores
2023	J	`jnl`	Optimizing CO CoRR Carine Menezes Rebello, Idelfonso B. R. Nogueira
2023	J	`jnl`	PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction. CoRR Vinícius Viena Santana, Carine Menezes Rebello, Luana P. Queiroz, Ana Mafalda Almeida Peixoto Ribeiro, Nadia Shardt, Idelfonso B. R. Nogueira
2022	J	`jnl`	A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem. CoRR Luana P. Queiroz, Carine M. Rebello, Erbet Almeida Costa, Vinícius V. Santana, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira
2022	J	`jnl`	A long short-term memory based Quasi-Virtual Analyzer for dynamic real-time soft sensing of a Simulated Moving Bed unit. Appl. Soft Comput. Paulo H. Marrocos, Igor G. I. Iwakiri, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira
2022	J	`jnl`	A new Reinforcement Learning framework to discover natural flavor molecules. CoRR Luana P. Queiroz, Carine M. Rebello, Erbet Almeida Costa, Vinícius V. Santana, Bruno C. L. Rodrigues, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira
2021	J	`jnl`	Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach. Comput. Chem. Eng. Vinícius V. Santana, Márcio A. F. Martins, José M. Loureiro, Ana M. Ribeiro, Alírio E. Rodrigues, Idelfonso B. R. Nogueira
2020	J	`jnl`	A robustly model predictive control strategy applied in the control of a simulated industrial polyethylene polymerization process. Comput. Chem. Eng. Idelfonso B. R. Nogueira, Raony M. Fontes, Ana M. Ribeiro, Karen V. Pontes, Marcelo Embiruçu, Márcio A. F. Martins
2020	J	`jnl`	Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate. Comput. Chem. Eng. Vinícius Viena, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro, Idelfonso B. R. Nogueira
2019	J	`jnl`	Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination. Comput. Chem. Eng. Idelfonso B. R. Nogueira, Rui P. V. Faria, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro
2019	J	`jnl`	Optimization of a True Moving Bed unit and determination of its feasible operating region using a novel Sliding Particle Swarm Optimization. Comput. Ind. Eng. Idelfonso B. R. Nogueira, Márcio A. F. Martins, Reiner Requião, Amanda R. Oliveira, Vinícius Viena, Hannu Koivisto, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro
2019	J	`jnl`	Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant. Comput. Chem. Eng. Joana Matos, Rui P. V. Faria, Idelfonso B. R. Nogueira, José M. Loureiro, Ana M. Ribeiro
2018	J	`jnl`	A quasi-virtual online analyser based on an artificial neural networks and offline measurements to predict purities of raffinate/extract in simulated moving bed processes. Appl. Soft Comput. Idelfonso B. R. Nogueira, Ana M. Ribeiro, Reiner Requião, Karen V. Pontes, Hannu Koivisto, Alírio E. Rodrigues, José M. Loureiro
2018	J	`jnl`	Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination. Comput. Chem. Eng. Idelfonso B. R. Nogueira, Rui P. V. Faria, Reiner Requião, Hannu Koivisto, Márcio A. F. Martins, Alírio E. Rodrigues, José M. Loureiro, Ana M. Ribeiro
2017	J	`jnl`	A model-based approach to quality monitoring of a polymerization process without online measurement of product specifications. Comput. Ind. Eng. Idelfonso B. R. Nogueira, Cristiano Hora Fontes, Isabel Sartori, Karen V. Pontes, Marcelo Embiruçu
2017	J	`jnl`	Dynamic response to process disturbances - A comparison between TMB/SMB models in transient regime. Comput. Chem. Eng. Idelfonso B. R. Nogueira, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro
2017	J	`jnl`	Parameter estimation with estimability analysis applied to an industrial scale polymerization process. Comput. Chem. Eng. Idelfonso B. R. Nogueira, Karen V. Pontes
2016	J	`jnl`	Dynamics of a True Moving Bed separation process: Effect of operating variables on performance indicators using orthogonalization method. Comput. Chem. Eng. Idelfonso B. R. Nogueira, Ana M. Ribeiro, Alírio E. Rodrigues, José M. Loureiro