Catalyst development for the tri‐reforming of methane (TRM) process by integrated singular machine learning models
Paulo A. L. de Souza,
Raja Muhammad Afzal,
Felipe Gomes Camacho
et al.
Abstract:Tri‐reforming of methane (TRM) is a promising technology for the simultaneous production of hydrogen and syngas with high energy efficiency (above 70%). However, catalyst design for TRM is challenging due to complex reaction kinetics and the need for catalyst materials with great stability and activity. Machine learning, particularly artificial neural networks (ANNs), has emerged as a powerful tool in catalyst development for the TRM process. More than 6000 data points were selected to build individual models … Show more
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