Multiscale optimization of formic acid dehydrogenation process via linear model decision tree surrogates
Abstract: Highlights•We used linear model decision tree models to optimize a dehydrogenation process.•They can be converted to mixed integer linear programs and globally minimized.•Simultaneous optimization is better than sequential optimization at each scale.
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