Author

E. Rodríguez‐Castellón

2 papers indexed here

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Open access Aug 2026

Explainable machine learning and physics-constrained optimization of chalcogen catalysts for sustainable hydrogen production

An integrated machine learning and optimization framework, physics-constrained optimization (PCO) and trust-region Bayesian optimization (TRBO), for engineering of chalcogen-based electrocatalysts, offering a physically consistent, reliable, and scalable route for the discovery of new catalysts and sustainable hydrogen...

D. Nguyen, M. Guerrero-Pérez, E. Rodríguez-Castellón et al. · iScience · 0 citations

Jul 2026

Assessing the Importance of Factors Affecting Steam Gasification Efficiency from Eucalyptus Wood: Uncertainty-Aware Machine Learning and Sobol Indices

This work presented an experimentally validated machine learning framework to predict and interpret the properties of producer gas obtained through steam-aided Eucalyptus wood gasification in a downdraft fixed-bed gasifier. The systematic experimental data were collected by varying the equivalence ratio (ER) and biom...

Diep Ngoc Long Huynh, Thanh Nam Dang, M. Guerrero-Pérez et al. · Energy & Fuels · 0 citations