Search Results - "Santana, Vinicius V."

Using scientific machine learning to develop universal differential equation for multicomponent adsorption separation systems by B. R. Nogueira, Idelfonso, V. Santana, Vinicius, Ribeiro, Ana M., Rodrigues, Alírio E.

“…Universal differential equations are a concept in scientific machine learning that leverages the potential of the universal approximator theorem and the…”
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A First Approach towards Adsorption-Oriented Physics-Informed Neural Networks: Monoclonal Antibody Adsorption Performance on an Ion-Exchange Column as a Case Study by Santana, Vinicius V., Gama, Marlon S., Loureiro, Jose M., Rodrigues, Alírio E., Ribeiro, Ana M., Tavares, Frederico W., Barreto, Amaro G., Nogueira, Idelfonso B. R.

“…Adsorption systems are characterized by challenging behavior to simulate any numerical method. A novel field of study emerged within the numerical method in…”
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Ethylene Purification by Pressure Swing Adsorption with the Paraffin Selective Metal–Organic FrameworkDUT‑8 by Santana, Vinícius V., Carmo, Paulo, Seabra, Rute, Rodrigues, Alírio E., Ribeiro, Ana Mafalda, Nogueira, Idelfonso B. R., Yoon, Ji Woong, Cho, Kyung Ho, Yun, Ji Sub, Lee, U-Hwang, Kim, Kiwoong, Ferreira, Alexandre F. P.

“…Finding ways to separate olefins and paraffin more efficiently has motivated the development of improved adsorbents for adsorption-based separations. Recently,…”
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Transfer Learning Approach to Develop Natural Molecules with Specific Flavor Requirements by Queiroz, Luana P., Rebello, Carine M., Costa, Erbet A., Santana, Vinícius V., Rodrigues, Bruno C. L., Rodrigues, Alírio E., Ribeiro, Ana M., Nogueira, Idelfonso B. R.

“…In the past decades, the flavor industry’s investment in research and development has increased to take innovative steps. Meanwhile, the lack of information…”
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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 by Nogueira, Idelfonso B.R., Dias, Rafael O.M., Rebello, Carine M., Costa, Erbet A., Santana, Vinicius V., Rodrigues, Alírio E., Ferreira, Alexandre, Ribeiro, Ana M.

“…•Material screening and simultaneous processes optimization.•Deep learning neural networks providing deep insights about the process behavior.•A nested loop is…”
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Abnormal Operation Tracking through Big-Data-Based Gram–Schmidt Orthogonalization: Production of n‑Propyl Propionate in a Simulated Moving-Bed Reactor: A Case Study by Santana, Vinicius V, Martins, Márcio A. F, Rodrigues, Alírio E, Loureiro, José M, Ribeiro, Ana M, Nogueira, Idelfonso B. R

“…Big Data Analytics plays a crucial role in Industry 4.0 by offering tools to improve the decision-making process. These tools comprise data management…”
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A framework for predicting odor threshold values of perfumes by scientific machine learning and transfer learning by Oliveira, Luis M.C., Santana, Vinícius V., Rodrigues, Alírio E., Ribeiro, Ana M., B. R. Nogueira, Idelfonso

“…Knowledge of odor thresholds is very important for the perfume industry. Due to the difficulty associated with measuring odor thresholds, empirical models…”
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Generating Flavor Molecules Using Scientific Machine Learning by Queiroz, Luana P., Rebello, Carine M., Costa, Erbet A., Santana, Vinícius V., Rodrigues, Bruno C. L., Rodrigues, Alírio E., Ribeiro, Ana M., Nogueira, Idelfonso B. R.

“…Flavor is an essential component in the development of numerous products in the market. The increasing consumption of processed and fast food and healthy…”
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A Reinforcement Learning Framework to Discover Natural Flavor Molecules by Queiroz, Luana P, Rebello, Carine M, Costa, Erbet A, Santana, Vinícius V, Rodrigues, Bruno C L, Rodrigues, Alírio E, Ribeiro, Ana M, Nogueira, Idelfonso B R

“…Flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and…”
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Novel Framework for Simulated Moving Bed Reactor Optimization Based on Deep Neural Network Models and Metaheuristic Optimizers: An Approach with Optimality Guarantee by Santana, Vinícius V., Martins, Márcio A. F., Loureiro, José M., Ribeiro, Ana M., Queiroz, Luana P., Rebello, Carine M., Rodrigues, Alírio E., Nogueira, Idelfonso B. R.

“…Model-based optimization of simulated moving bed reactors (SMBRs) requires efficient solvers and significant computational power. Over the past years,…”
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Optimal fragrances formulation using a deep learning neural network architecture: A novel systematic approach by Santana, Vinícius V., Martins, Márcio A.F., Loureiro, José M., Ribeiro, Ana M., Rodrigues, Alírio E., Nogueira, Idelfonso B.R.

“…•It was developed a systematic approach for optimal perfume design.•The strategy comprises deep learning model and a meta-heuristic optimization method.•An…”
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Improved modeling of crystallization processes by Universal Differential Equations by Lima, Fernando Arrais R.D., Rebello, Carine M., Costa, Erbet A., Santana, Vinícius V., Moares, Marcellus G.F. de, Barreto, Amaro G., Secchi, Argimiro R., Souza, Maurício B. de, Nogueira, Idelfonso B.R.

“…Crystallization is a crucial process in the pharmaceutical industry, usually modeled by Population Balance Models (PBM). This study introduces a novel…”
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Molecule Generation and Optimization for Efficient Fragrance Creation by Rodrigues, Bruno C. L., Santana, Vinicius V., Murins, Sandris, Nogueira, Idelfonso B. R.

“…This research introduces a machine learning-centric approach to replicate olfactory experiences, utilizing an experimentally quantified target scent from the…”
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Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach by Santana, Vinicius V., Costa, Erbet, Rebello, Carine M., Ribeiro, Ana Mafalda, Rackauckas, Christopher, Nogueira, Idelfonso B.R.

“…This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-linear…”
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Harnessing graph neural networks to craft fragrances based on consumer feedback by Rodrigues, Bruno C.L., Santana, Vinicius V., Queiroz, Luana P., Rebello, Carine M., B․ R․ Nogueira, Idelfonso

“…•Extract and utilize consumer feedback to inform molecular design.•Design and validate an AI-based molecule generator tailored for scent.•Potential reduction…”
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Strategies for Simulated Moving Bed Model Parameter Estimation Based on Minimal System Minimal Knowledge: Adsorption Isotherm Equation Screening and Estimability Analysis by Santos, Rodrigo V. A., Rebello, Carine, Prudente, Anderson, Santana, Vinicius V., Ferreira, Alexandre F. P., Ribeiro, Ana M., Pontes, Karen V., Nogueira, Idelfonso B. R.

“…The simulated moving bed (SMB) is a widely recognized technique for the resolution of several high-value-added compounds, and its mathematical modeling plays a…”
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Transient analysis of true/simulated moving bed reactors: A case study on the synthesis of n-Propyl propionate by Santana, Vinicius V., Martins, Márcio A.F., Rodrigues, Alírio E., Loureiro, José M., Ribeiro, Ana M., Nogueira, Idelfonso B.R.

“…A potential improvement in the production route of the ester n-propyl-propionate can be done by the Simulated Moving Bed Reactor (SMBR). However, there is a…”
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Molecule Generation and Optimization for Efficient Fragrance Creation by Rodrigues, Bruno C. L, Santana, Vinicius V, Murins, Sandris, Nogueira, Idelfonso B. R

“…This research introduces a Machine Learning-centric approach to replicate olfactory experiences, validated through experimental quantification of perfume…”
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Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach by Santana, Vinicius V, Costa, Erbet, Rebello, Carine M, Ribeiro, Ana Mafalda, Rackauckas, Chris, Nogueira, Idelfonso B. R

“…This study presents a systematic machine learning approach for creating efficient hybrid models and discovering sorption uptake models in non-linear…”
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A nested loop for simultaneous model topology screening, parameters estimation, and identification of the optimal number of experiments: Application to a Simulated Moving Bed unit by Santos, Rodrigo V. A, Rebello, Carine M, Prudente, Anderson, Santana, Vinicius V, Ribeiro, Ana M, Rodrigues, Alirio E, Loureiro, Jose M, Pontes, Karen V, Nogueira, Idelfonso B. R

“…Simulated Moving Bed (SMB) chromatography is a well-known technique for the resolution of several high-value-added compounds. Parameters identification and…”
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