Data-Driven Evaluation for Multicriteria Selection of Covalent Organic Frameworks for Membrane-Based Hydrogen Separation [* Cross-Reference *]

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Kris Helten; Nicholaus Prasetya; Bradley P. Ladewig, 2026, "Data-Driven Evaluation for Multicriteria Selection of Covalent Organic Frameworks for Membrane-Based Hydrogen Separation [* Cross-Reference *]", https://lore.list.lu/citation?persistentId=perma:LIST.0S0VZX, LIST Open Repository, V1
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Description
Hydrogen is considered the fuel of the future for the decarbonizing industry and the transport sector. A membrane containing porous materials can be used to extract hydrogen from various gas mixtures. The diversity of porous materials makes it difficult to select a specific material for hydrogen separation. Covalent organic frameworks (COFs) are becoming increasingly popular for gas separation processes, especially for high-temperature applications. The properties of a COF depend on the configuration of various building blocks. A data-driven evaluation was performed to select the most promising COF features and topologies from the CoRE COF database of 1242 reported COFs based on quantification using a scoring approach. The results of the property-based evaluation model show that 3D COFs have a higher potential on average than 2D COFs. Four different normalized evaluations describe the design with the highest potential. The interdisciplinary quantification approach of the preferred properties enables the selection of a specific topology from 2D or 3D covalent organic frameworks and serves as an indication of further advantageous features for a selective hydrogen separation material. (2026-03-19)
***This entry has been automatically imported via OpenAlex by LIST harvest scripts. Please refer to https://doi.org/10.1021/acsomega.5c10086 for the original and latest version of the publication*** (2026-07-01)
Subject Chemistry; Engineering; Physics
Keyword Selection (genetic algorithm), Hydrogen, Work (physics), Separation (statistics), Separation method
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