Search Results - "Romagnoli, Jose A"

PemNet: A Transfer Learning-Based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems by Briceno-Mena, Luis A, Romagnoli, José A, Arges, Christopher G

“…Widespread adoption of high-temperature electrochemical systems such as polymer electrolyte membrane fuel cells (HT-PEMFCs) requires models and computational…”
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Data mining and clustering in chemical process databases for monitoring and knowledge discovery by Thomas, Michael C., Zhu, Wenbo, Romagnoli, Jose A.

“…•Popular data clustering and DR techniques compared in extracting fault data.•We consider case studies on simulation data and an industrial separation…”
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Empowering Capacitive Devices: Harnessing Transfer Learning for Enhanced Data-Driven Optimization by Olayiwola, Teslim, Kumar, Revati, Romagnoli, Jose A.

“…Developing data-driven models has found successful applications in engineering tasks, such as material design, process modeling, and process monitoring. In…”
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Data mining and knowledge discovery in chemical processes: Effect of alternative processing techniques by Briceno-Mena, Luis A., Nnadili, Miriam, Benton, Michael G., Romagnoli, Jose A.

“…Data mining and knowledge discovery (DMKD) focuses on extracting useful information from data. In the chemical process industry, tasks such as process…”
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Stochastic approach for the calculation of anti-solvent addition policies in crystallization operations: An application to a bench-scale semi-batch crystallizer by Galán, Omar, Grosso, Massimiliano, Baratti, Roberto, A. Romagnoli, José

“…This work discusses a stochastic approach for the calculation of robust anti-solvent addition policies for controlling the mean crystal size (MCS) and…”
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Learning to navigate a crystallization model with Deep Reinforcement Learning by Manee, Vidhyadhar, Baratti, Roberto, Romagnoli, Jose A.

“…•Convolutional Neural Network is used to measure the size distribution of crystals.•Reinforcement Learning is used to learn an optimal control policy.•Removes…”
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Stochastic Approach for the Prediction of PSD in Crystallization Processes: Formulation and Comparative Assessment of Different Stochastic Models by Grosso, Massimiliano, Cogoni, Giuseppe, Baratti, Roberto, Romagnoli, Jose A

“…A stochastic formulation for the description of antisolvent mediated crystal growth processes is discussed. In the proposed approach, the crystal size growth…”
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A generalized stochastic modelling approach for crystal size distribution in antisolvent crystallization operations by Baratti, Roberto, Tronci, Stefania, Romagnoli, Jose A.

“…A generalized formulation for the development of stochastic models to predict the crystal size distribution (CSD) in antisolvent crystallization processes is…”
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Online Optimal Feedback Control of Polymerization Reactors: Application to Polymerization of Acrylamide–Water–Potassium Persulfate (KPS) System by Ghadipasha, Navid, Zhu, Wenbo, Romagnoli, Jose A, McAfee, Terry, Zekoski, Thomas, Reed, Wayne F

“…This paper deals with the design and implementation of optimal real-time control strategies for controlling polymerization reactors in free radical…”
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A multiobjective optimization framework for design of integrated biorefineries under uncertainty by Geraili, Aryan, Romagnoli, Jose A.

“…A systematic approach for development of a reliable optimization framework to address the optimal design of integrated biorefineries in the face of uncertainty…”
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On-line control of crystal properties in nonisothermal antisolvent crystallization by Ghadipasha, Navid, Romagnoli, Jose A., Tronci, Stefania, Baratti, Roberto

“…The issues regarding the design and implementation of on‐line optimal control strategies of crystal properties in nonisothermal antisolvent crystallization…”
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Antisolvent crystallization: Model identification, experimental validation and dynamic simulation by Mostafa Nowee, S., Abbas, Ali, Romagnoli, Jose A.

“…This paper is concerned with the development, simulation and experimental validation of a detailed antisolvent crystallization model. A population balance…”
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On the Influence of Hydrogen Bond Interactions in Isothermal and Nonisothermal Antisolvent Crystallization Processes by Cogoni, G, Baratti, R, Romagnoli, Jose A

“…The effect of the temperature on the Crystal Size Distribution (CSD) in antisolvent crystallization operation, for systems where the solubility is weakly…”
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Refinery scheduling of crude oil unloading, storage and processing using a model predictive control strategy by Yüzgeç, Uğur, Palazoglu, Ahmet, Romagnoli, Jose A.

“…A model predictive control (MPC) strategy is presented to determine the optimal control decisions for the short-term refinery scheduling problem. For cases…”
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Detecting abnormal process trends by wavelet-domain hidden Markov models by Sun, Wei, Palazoğlu, Ahmet, Romagnoli, Jose A.

“…A novel method for detection of abnormal conditions during plant operation uses wavelet‐domain hidden Markov models (HMMs) as a powerful tool for statistical…”
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Time evolution of the PSD in crystallization operations: An analytical solution based on Ornstein-Uhlenbeck process by Cogoni, Giuseppe, Grosso, Massimiliano, Baratti, Roberto, Romagnoli, Jose A.

“…A new formulation of the recent stochastic approach for the description of the particle‐size distribution (PSD) time evolution in antisolvent crystal‐growth…”
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Controllability of Semibatch Nonisothermal Antisolvent Crystallization Processes by Cogoni, G, Tronci, S, Baratti, R, Romagnoli, Jose A

“…In this article the problems of input multiplicities arising in the nonisothermal crystallization process is first considered. Using controllability tools it…”
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Stochastic approach for the prediction of PSD in nonisothermal antisolvent crystallization processes by Cogoni, Giuseppe, Tronci, Stefania, Mistretta, Giuseppe, Baratti, Roberto, Romagnoli, Jose A.

“…A stochastic formulation for the description of cooling‐antisolvent mediated crystal growth processes based on the Fokker‐Planck equation is discussed…”
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Use of Predictive Solubility Models for Isothermal Antisolvent Crystallization Modeling and Optimization by Widenski, David J, Abbas, Ali, Romagnoli, Jose A

“…Predictive solubility models can be of great use for crystallization modeling and optimization, and can decrease the amount of experimental effort needed to…”
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A qualitative comparison between population balances and stochastic models for non-isothermal antisolvent crystallization processes by Cogoni, Giuseppe, Widenski, David, Grosso, Massimiliano, Baratti, Roberto, Romagnoli, José A.

“…•A ternary NaCl–water–ethanol semibatch crystallization is modeled.•Population balance and stochastic models were fit to experimental data.•Models included…”
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