5 citations · 10 across the 12 of their papers we have counts for
4 papers · 1 filter
Optimizing Capture in Pressure Swing Adsorption Units: A Deep Neural Network Approach with Optimality Evaluation and Operating Maps for Decision-Making
Carine Menezes Rebello, Idelfonso B. R. Nogueira
This study presents a methodology for surrogate optimization of cyclic adsorption processes, focusing on enhancing Pressure Swing Adsorption units for carbon dioxide () cap…
Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry
Carine Menezes Rebello, Johannes Jäschkea, Idelfonso B. R. Nogueira
The concept of creating a virtual copy of a complete Cyber-Physical System opens up numerous possibilities, including real-time assessments of the physical environment and continuo…
PUFFIN: A Path-Unifying Feed-Forward Interfaced Network for Vapor Pressure Prediction
Vinicius Viena Santana, Carine Menezes Rebello, Luana P. Queiroz +3
Accurately predicting vapor pressure is vital for various industrial and environmental applications. However, obtaining accurate measurements for all compounds of interest is not p…
Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach
Vinicius V. Santana, Erbet Costa, Carine M. Rebello +3
This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-linear advection-diffusion-sorption sy…