Accelerating discovery of COFs for CO2 capture and H2 purification using structurally guided computational screening

نویسندگان

چکیده

Screening of hypothetical covalent organic framework (hypoCOF) database enables to go beyond the current synthesized structures design high-performance materials for CO2 separation. In this work, we followed a structurally guided computational screening approach find most promising candidates hypoCOF adsorbents and membranes capture H2 purification. Grand canonical Monte Carlo (GCMC) simulations were used evaluate CO2/H2 separation performance 3184 hypoCOFs pressure-swing adsorption (PSA) vacuum-swing (VSA) processes. selectivities working capacities calculated in range 6.13–742 (6.39–954) 0.07–8.68 mol/kg (0.01–3.92 mol/kg), achieving higher values than those experimentally COFs at PSA conditions. Density functional theory (DFT) calculations revealed that strength hydrogen bonding between group linkers is an important factor determining selectivity hypoCOFs. The predominant topologies linker types identified as bor pts, linker91 (a triazine linker) linker92 benzene top-performing adsorbents, respectively. Molecular dynamics (MD) 794 showed they exceed Robeson’s upper bound by outperforming COF, zeolite, metal (MOF), polymer due their high H2/CO2 selectivities, 2.66–6.14, permeabilities, 9×105–4.5×106 Barrer. Results work will be useful guide synthesis novel providing molecular-level insights into structural features achieve superior performance.

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ژورنال

عنوان ژورنال: Chemical Engineering Journal

سال: 2022

ISSN: ['1873-3212', '1385-8947']

DOI: https://doi.org/10.1016/j.cej.2021.131574