A multi-objective Bayesian optimization framework for the synthesis of methanol from syngas using interpretable Gaussian process models

The data sets are synthesized with two reactors (1) Recycle reactor (2) Once through reactor. These reactors have a typical fixed bed of catalysts. The inlet parameter values are varied, and output parameter readings are recorded.本数据集由两类反应器合成得到：(1) 循环反应器（Recycle reactor）；(2) 单程反应器（Once through reactor）。两类反应器均配备典型的催化剂固定床。实验中改变入口参数的取值，并记录对应的出口参数读数。