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The role of molecular modelling and simulation in the discovery and deployment of metal-organic frameworks for gas storage and separation
Molecular Simulation ( IF 2.1 ) Pub Date : 2019-08-08 , DOI: 10.1080/08927022.2019.1648809
Arni Sturluson 1 , Melanie T Huynh 1 , Alec R Kaija 2 , Caleb Laird 1 , Sunghyun Yoon 3 , Feier Hou 4 , Zhenxing Feng 1 , Christopher E Wilmer 2 , Yamil J Colón 5 , Yongchul G Chung 3 , Daniel W Siderius 6 , Cory M Simon 1
Affiliation  

ABSTRACT Metal-organic frameworks (MOFs) are highly tuneable, extended-network, crystalline, nanoporous materials with applications in gas storage, separations, and sensing. We review how molecular models and simulations of gas adsorption in MOFs have informed the discovery of performant MOFs for methane, hydrogen, and oxygen storage, xenon, carbon dioxide, and chemical warfare agent capture, and xylene enrichment. Particularly, we highlight how large, open databases of MOF crystal structures, post-processed to enable molecular simulations, are a platform for computational materials discovery. We discuss how to orient research efforts to routinise the computational discovery of MOFs for adsorption-based engineering applications.

中文翻译:

分子建模和模拟在气体储存和分离金属有机框架的发现和部署中的作用

摘要 金属有机框架 (MOF) 是一种高度可调、扩展网络、结晶、纳米多孔材料,可应用于气体存储、分离和传感。我们回顾了 MOF 中气体吸附的分子模型和模拟如何为发现用于甲烷、氢气和氧气储存、氙、二氧化碳和化学战剂捕获以及二甲苯浓缩的高性能 MOF 提供信息。我们特别强调了 MOF 晶体结构的大型开放数据库(经过后处理以实现分子模拟)如何成为计算材料发现的平台。我们讨论如何引导研究工作,以常规化基于吸附的工程应用的 MOF 的计算发现。
更新日期:2019-08-08
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