期刊
CRYSTAL GROWTH & DESIGN
卷 17, 期 11, 页码 5801-5810出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.cgd.7b00848
关键词
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资金
- National Science Foundation (NSF) [DMR-1334928]
- Direct For Mathematical & Physical Scien
- Division Of Materials Research [1334928] Funding Source: National Science Foundation
Metal-organic frameworks (MOFs) are promising materials for a range of energy and environmental applications. Here we describe in detail a computational algorithm and code to generate MOFs based on edge-transitive topological nets for subsequent evaluation via molecular simulation. This algorithm has been previously used by us to construct and evaluate 13 512 MOFs of 41 different topologies for cryo-adsorbed hydrogen storage. Grand canonical Monte Carlo simulations are used here to evaluate the 13 512 structures for the storage of gaseous fuels such as hydrogen and methane and nondistillative separation of xenon/krypton mixtures at various operating conditions. MOF performance for both gaseous fuel storage and xenon/krypton separation is influenced by topology. Simulation data suggest that gaseous fuel storage performance is topology-dependent due to MOF properties such as void fraction and surface area combining differently in different topologies, whereas xenon/krypton separation performance is topology-dependent due to how topology constrains the pore size distribution.
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