Zhang Hui-Dong, Li Xiao-Dong, Xie Yan-Yu, Yang Peng-Hui, Yu Jing-Xin
College of Science, Henan University of Technology, Zhengzhou 450001, China.
Phys Chem Chem Phys. 2024 Apr 17;26(15):11570-11581. doi: 10.1039/d4cp00171k.
The capture and separation of CF from CF/N mixture gas is a crucial issue in the electronics industry, as CF is a commonly used etching gas and the ratio of CF to N directly affects process efficiency. Utilizing high-throughput computational screening techniques and grand canonical Monte Carlo (GCMC) simulations, we comprehensively screened and assessed 247 types of pure silicon zeolite materials to determine their adsorption and separation performance for CF/N mixtures. Based on screening, the relationships between the structural parameters and adsorption and separation properties were meticulously investigated. Four indicators including adsorption selectivity, working capacity, adsorbent performance score (APS), and regenerability (%) were used to evaluate the performance of adsorbents. Based on the evaluation, we selected the top three best-performing zeolite structures for vacuum swing adsorption (LEV, AWW and ESV) and pressure swing adsorption (AVL, ZON, and ERI) processes respectively. Also, we studied the preferable adsorption sites of CF and N in the selected zeolite structures through centroid density distributions at the molecule level. We expect the study may provide some valuable guidance for subsequent experimental investigations on adsorption and separation of CF/N.
从CF/N混合气体中捕获和分离CF是电子工业中的一个关键问题,因为CF是一种常用的蚀刻气体,CF与N的比例直接影响工艺效率。利用高通量计算筛选技术和巨正则蒙特卡罗(GCMC)模拟,我们对247种纯硅沸石材料进行了全面筛选和评估,以确定它们对CF/N混合物的吸附和分离性能。基于筛选结果,精心研究了结构参数与吸附和分离性能之间的关系。使用吸附选择性、工作容量、吸附剂性能评分(APS)和可再生性(%)这四个指标来评估吸附剂的性能。基于评估结果,我们分别为变压吸附(LEV、AWW和ESV)和变温吸附(AVL、ZON和ERI)过程选择了性能最佳的三种沸石结构。此外,我们通过分子水平的质心密度分布研究了CF和N在所选沸石结构中的优选吸附位点。我们期望该研究可为后续CF/N吸附和分离的实验研究提供一些有价值的指导。