Argimiro R. Secchi - Publications, H-index & Citations

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Argimiro R. Secchi

Universidade Federal do Rio de Janeiro

28H-index

445Paper Count

3.5KCitation Count

Published Papers 106

Publication Date

Development of a robust optimization strategy for primary drying in lyophilization, considering intra- and inter-batch variability

Journal of Pharmaceutical Sciences

IF3.8

2026-07-29

PREAI

Roland Pérez; Natália M Bexiga; Argimiro R Secchi; Rui de Paula Vieira

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Where Fault Detection and Diagnosis Meets MPC Performance Assessment: Review and Case Study of an Integrated Framework

Processes

IF2.8

2026-07-17

OAAI

Elizabeth V. Melo; Argimiro R. Secchi; Maurício B. de Souza, Jr.

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Environmental and Economic Assessment of the Intensification of an Isomerization Column–Reactor Through Vapor Recompression Electrification

Processes

IF2.8

2026-05-30

OAAI

Fernanda Ribeiro Figueiredo; Roymel Rodríguez Carpio; Diego Martinez Prata; Argimiro Resende Secchi

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Symbolic Regression-Based Robust Control of Batch Crystallization: Design and PLC Implementation

Industrial & Engineering Chemistry Research

IF0

2026-05-05

OAAI

Fernando Arrais Romero Dias Lima; Erbet A. Costa; Mumin Enis Leblebici; Argimiro Resende Secchi; Maurício B. de Souza Jr.; Idelfonso B. R. Nogueira

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A full and comprehensive flow assurance analysis in offshore production lines: Mathematical modeling and management of hydrate formation conditions

Chemical Engineering Research and Design

IF3.9

2026-03-26

PREAI

Thamires A.L. Guedes; Argimiro R. Secchi; Príamo A. Melo; Rodrigo G.D. Teixeira

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A robust framework based on symbolic regression to develop controllers for crystallization processes

Journal of Process Control

IF3.9

2026-03-21

PREAI

Fernando Arrais R.D. Lima; Marcellus G.F. de Moraes; M. Enis Leblebici; Argimiro R. Secchi; Maurício B. de Souza; Idelfonso B.R. Nogueira

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Improving process systems engineering with specialized multi-agent large language models

Chemical Engineering Journal Advances

IF7.1

2026-03-16

OAAI

Fernando Arrais R.D. Lima; Anas Abdelrehim; Ashutosh Bharambe; Marius Micluţa-Câmpeanu; Dhairya Gandhi; Anshul Singhvi; Venkateshprasad Bhat; Morten Piibeleht; Argimiro R. Secchi; Maurício B. de Souza Jr.; M. Enis Leblebici; Christopher Rackauckas; Idelfonso B.R. Nogueira

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Data-Driven Machine Learning Modeling for Production Planning in Natural Gas Processing Under Open-Market Conditions: A Case Study of Brazil’s Largest Gas Processing Site

Processes

IF2.8

2026-02-27

OAAI

Tayná E. G. Souza; Thiago S. Feital; Maurício B. de Souza, Jr.; Argimiro R. Secchi

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Fuzzy advanced control: Boosting efficiency and economic benefits in offshore gas compression systems

Journal of Process Control

IF3.9

2026-01-19

OAAI

Thamires A.L. Guedes; Sergio A.C. Giraldo; Marcelo L. de Lima; Mario C.M.M. Campos; Daniel M. Lima; Leonardo D. Ribeiro; Argimiro R. Secchi

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Experimental Nonlinear Model Predictive Control of Crystal Size and Yield in Batch Cooling Crystallization Enabled by Soft Sensor and Symbolic-Based Calibration Model

Industrial and Engineering Chemistry Research

IF3.9

2025-11-01

PREAI

Dias Lima, Fernando Arrais Romero; Fernandes De Moraes, Marcellus Guedes; Resende Secchi, Argimiro; De Souza, Mauricio B.; Grover, Martha A.

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Thermo-Energetic Analysis of Electrolytic Oxygen Valorization via Biomass Oxy-Fuel Combustion: A Case Study Applied to a Power-to-Liquid Route for Methanol Synthesis

THERMO

IF2.3

2025-10-07

PREAI

Pereira, Flavio S.; Secchi, Argimiro R.; Szklo, Alexandre

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Novel pathways for urea synthesis decarbonization: An analytical review from Bosch–Meiser to electroreduction processes

Applied Energy

IF11

2025-08-04

PREAI

Iago Santos Mesquita; Príamo Albuquerque Melo; Argimiro Resende Secchi

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Assessment of forward and forward-backward Bayesian filters

DIGITAL CHEMICAL ENGINEERING

IF4.1

2025-06-01

OAAI

Silva, Daniel Martins; Secchi, Argimiro Resende

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Interpretable and uncertainty-aware machine learning for trustworthy prediction in batch crystallization

chemical engineering and processing process intensification

IF0

2025-05-19

PREAI

Fernando 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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A robust deep reinforcement learning approach for the control of crystallization processes

COMPUTERS & CHEMICAL ENGINEERING

IF3.9

2025-05-15

PREAI

Neto, Jose Rodrigues Torraca; Capron, Bruno Didier Olivier; Secchi, Argimiro Resende

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Evaluating the effects of amlodipine on the cardiovascular system solving a lumped-parameter model coupled with a PKPD model using EMSO process simulator

CHEMICAL ENGINEERING SCIENCE

IF4.3

2025-05-15

PREAI

Diniz, Luiza W.; Fernandes, Heloisa L. S.; Secchi, Argimiro R.

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Special Issue: Modeling, Simulation, Control, and Optimization of Processes

PROCESSES

IF2.8

2025-05-02

OAAI

Reis, Marco S.; Secchi, Argimiro R.; Miyoshi, Simone C.

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On a new globally optimal method for the design optimization of air coolers coupled with real fans

CHEMICAL ENGINEERING SCIENCE

IF4.3

2025-01-01

PREAI

Santos, Marco Thiago da C.; Secchi, Argimiro Resende; Bagajewicz, Miguel J.; Costa, Andre L. H.

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Phenomenological model of a reactive distillation column validated at pilot-plant scale to produce n-butyl lactate

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION

IF3.9

2025-01-01

PREAI

Garcia, Cesar A.; Ochoa, Silvia; Gil, Ivan D.; Secchi, Argimiro R.

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Neural Network Inverse Model Controllers for Paracetamol Unseeded Batch Cooling Crystallization

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

IF3.9

2024-10-29

OAAI

Lima, Fernando Arrais Romero Dias; de Moraes, Marcellus Guedes Fernandes; Grover, Martha A.; Barreto Jr, Amaro Gomes; Secchi, Argimiro Resende; de Souza Jr, Mauricio B.

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Research Directions