Multiscale optimization of formic acid dehydrogenation process via linear model decision tree surrogates

Multiscale optimization problems require the interconnection of several models of distinct phenomena which occur at different scales in length or time. However, the best model for any particular phenomenon may not be amenable to rigorous optimization techniques. For instance, molecular interactions...

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Veröffentlicht in:	Computers & chemical engineering 2025-03, Vol.194 (C), p.108921, Article 108921
Hauptverfasser:	Sunshine, Ethan M., Bucci, Giovanna, Chatterjee, Tanusree, Deo, Shyam, Ehlinger, Victoria M., Li, Wenqin, Moore, Thomas, Myers, Corey, Sun, Wenyu, Wang, Bo-Xun, Yuan, Mengyao, Kitchin, John R., Laird, Carl D., McNenly, Matthew J., Akhade, Sneha A.
Format:	Artikel
Sprache:	eng
Schlagworte:	Formic acid dehydrogenation Linear model decision tree Surrogate optimization
Online-Zugang:	Volltext
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