Jiaming Liang, Yitian Wang, Bowei Meng, Hengyang Liu, Lei Jiang, Lisheng Guo, Zhihao Liu, Wenhang Wang, Zi‐Han Yuan, Chengwei Wang, Qiang Liu, Tao Li, Tao Xing, Jiancai Sui, Guangbo Liu, Shuhei Yasuda, Yingluo He, Bing Liang, Ding Ma, Noritatsu Tsubaki
Precisely regulating the product distribution to directly synthesize the target products with the desired compositions is of great significance for heterogeneous catalysis. However, due to the product orientation, it is difficult to achieve this purpose through a single catalytic component. Herein, we report a dual-zeolite-regulation strategy that simultaneously employs two high-selective zeolites with different product tendencies for CO 2 hydrogenation. By changing the configuration composition of the two zeolites, the desired components in the target products can be freely switched. Taking liquefied petroleum gas as an example, a wide-range adjustment of propane/butane ratios is successfully achieved between 0.53 and 4.31 under high overall selectivity. The dual-zeolite regulation strategy can simplify the separation steps and shorten the production time, thus significantly reducing the total cost. Furthermore, machine-learning models are constructed with a low mean-square error (MSE) based on the reaction results, enabling the users to better predict and customize the required product composition.