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Computational Identification and Experimental Demonstration of High-Performance Methane Sorbents.
Nath, Karabi; Ahmed, Alauddin; Siegel, Donald J; Matzger, Adam J.
Afiliación
  • Nath K; Department of Chemistry and Macromolecular Science and Engineering Program, University of Michigan, 930 North University Avenue, Ann Arbor, MI 48109, USA.
  • Ahmed A; Mechanical Engineering Department, University of Michigan, Ann Arbor, MI 48109, USA.
  • Siegel DJ; Materials Science and Engineering, Applied Physics Program, and University of Michigan Energy Institute, University of Michigan, Ann Arbor, MI 48109, USA.
  • Matzger AJ; Mechanical Engineering Department, University of Michigan, Ann Arbor, MI 48109, USA.
Angew Chem Int Ed Engl ; 61(25): e202203575, 2022 Jun 20.
Article en En | MEDLINE | ID: mdl-35478372
ABSTRACT
Remarkable methane uptake is demonstrated experimentally in three metal-organic frameworks (MOFs) identified by computational screening UTSA-76, UMCM-152 and DUT-23-Cu. These MOFs outperform the benchmark sorbent, HKUST-1, both volumetrically and gravimetrically, under a pressure swing of 80 to 5 bar at 298 K. Although high uptake at elevated pressure is critical for achieving this performance, a low density of high-affinity sites (coordinatively unsaturated metal centers) also contributes to a more complete release of stored gas at low pressure. The identification of these MOFs facilitates the efficient storage of natural gas via adsorption and provides further evidence of the utility of computational screening in identifying overlooked sorbents.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Angew Chem Int Ed Engl Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Angew Chem Int Ed Engl Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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