A new Reinforcement Learning framework to discover natural flavor molecules. - Luana P. Queiroz; Carine M. Rebello; Erbet Almeida Costa; Vinícius V. Santana; Bruno C. L. Rodrigues; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira (CoRR, 2022)

A Robust Scientific Machine Learning for Optimization: A Novel Robustness Theorem. - Luana P. Queiroz; Carine M. Rebello; Erbet Almeida Costa; Vinícius V. Santana; Alírio E. Rodrigues; Ana M. Ribeiro; Idelfonso B. R. Nogueira (CoRR, 2022)

Efficient hybrid modeling and sorption model discovery for non-linear advection-diffusion-sorption systems: A systematic scientific machine learning approach. - Vinícius V. Santana; Erbet Almeida Costa; Carine M. Rebello; Ana M. Ribeiro; Chris Rackauckas; Idelfonso B. R. Nogueira (CoRR, 2023)

Adaptive digital twin for pressure swing adsorption systems: Integrating a novel feedback tracking system, online learning and uncertainty assessment for enhanced performance. - Erbet Almeida Costa; Carine Menezes Rebello; Leizer Schnitman; José Miguel Loureiro; Ana M. Ribeiro; Idelfonso B. R. Nogueira (Eng. Appl. Artif. Intell., 2024)

Simple control structure for stabilizing Core Annular Flow operation in heavy oil transportation. - Patrick Lima; Erbet Almeida Costa; Teófilo P. G. Mendes; Leizer Schnitman; Sigurd Skogestad; Idelfonso B. R. Nogueira (Comput. Chem. Eng., 2025)