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In this work, the application of a novel data-driven approach for predictive modeling of by-product formation in methanol (MeOH) synthesis is demonstrated. Due to the number of by-products present in MeOH synthesis, building reliable first-principles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0135e90ae3ace1e061934aa49b9b371f
https://doi.org/10.1016/b978-0-12-823377-1.50085-9
https://doi.org/10.1016/b978-0-12-823377-1.50085-9
