The production of green hydrogen (H2) is a sustainable approach to addressing the current energy crisis without contributing to long‐term greenhouse gas emissions. Many semiconductors based photocatalysts have shown great promise for light‐driven H2 generation. However, nanostructured powder form suffers from slow elec...
Aminul Islam, Mohammad Mobarak Hossain, M. A. R. Khan et al.· Advanced Energy and Sustaina...· 0 citations
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
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
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