Zobrazeno 1 - 10 of 1 379 pro vyhledávání: '"Rodrigues Alírio E."'
1
Report
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
Autor: 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 model topology definition are arduous when one is dealing with complex systems such as a Simul
Externí odkaz: http://arxiv.org/abs/2209.09133
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2
Report
A new Reinforcement Learning framework to discover natural flavor molecules
Autor: 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.
The flavor is the focal point in the flavor industry, which follows social tendencies and behaviors. The research and development of new flavoring agents and molecules are essential in this field. On the other hand, the development of natural flavors
Externí odkaz: http://arxiv.org/abs/2209.05859
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3
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A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem
Autor: Queiroz, Luana P., Rebello, Carine M., Costa, Erber A., Santana, Vinicius V., Rodrigues, Alirio E., Ribeiro, Ana M., Nogueira, Idelfonso B. R.
Scientific machine learning (SciML) is a field of increasing interest in several different application fields. In an optimization context, SciML-based tools have enabled the development of more efficient optimization methods. However, implementing Sc
Externí odkaz: http://arxiv.org/abs/2209.06642
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