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先进的MOF的简单的两步高通量选策略,用于从空气中分离

Xiaoyi Xu¹, Bingru Xin¹, Zhongde Dai²

¹School of Chemical Engineering, Sichuan University, Chengdu 610065, China.

Nanomaterials (Basel, Switzerland)

|March 26, 2025

概括

使用模拟的金属有机框架 (MOF) 的高通量选迅速确定了对分离有希望的材料. 这种方法加速了有效吸附剂的发现,减少了开发下一代MOF材料的资源需求.

科学领域:

材料科学材料科学材料科学
化学工程是化学工程的重要组成部分.
计算化学计算化学

背景情况:

金属有机框架 (MOF) 对基于压力摆动吸附 (PSA) 的分离至关重要.
MOF数量的快速增长使得实验性查变得不切实际.
对于净化,需要有效地识别高性能MOF.

研究的目的:

开发一种高通量选策略,用于识别用于子分离的MOF.
利用结构-属性关系和计算模拟来快速发现材料.
减少MOF查中的实验和计算资源.

主要方法:

采用了两步选策略,将结构与财产关系结合起来.
采用大法典蒙特卡罗 (GCMC) 模拟来评估吸附性能.
选了一个大型实验MOF数据库 (CoRE MOF数据库).

主要成果:

预先选了12,020个MOF,降至7,328,然后选择了4,083个有前途的候选人.
在GCMC模拟中,与传统分子比较,发现MOF具有优越的吸附性能.
分析了结构特征,金属原子,以及操作条件对吸附的影响.

结论:

开发的高通量选方法有效地识别了用于子分离的高性能MOF.
这种方法为合成下一代MOF提供了新的方向.
在高纯度生产中,有助于节能和减少消耗.

关键词:

大法典蒙特卡罗模拟大法典蒙特卡罗模拟阿尔贡阿尔贡阿尔贡阿尔贡气体分离器的气体分离器金属有机的框架.压力摆动吸附吸附的压力摆动.

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