Cargando…
Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents
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 b...
Autores principales: | Nath, Karabi, Ahmed, Alauddin, Siegel, Donald J., Matzger, Adam J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322563/ https://www.ncbi.nlm.nih.gov/pubmed/35478372 http://dx.doi.org/10.1002/anie.202203575 |
Ejemplares similares
-
Superior Metal‐Organic Framework Activation with Dimethyl Ether
por: Wright, Keenan R., et al.
Publicado: (2022) -
Exceptional hydrogen storage achieved by screening nearly half a million metal-organic frameworks
por: Ahmed, Alauddin, et al.
Publicado: (2019) -
Computational and experimental demonstrations of one-pot tandem catalysis for electrochemical carbon dioxide reduction to methane
por: Zhang, Haochen, et al.
Publicado: (2019) -
Predicting hydrogen storage in MOFs via machine learning
por: Ahmed, Alauddin, et al.
Publicado: (2021) -
Reusable Macroporous Oil Sorbent Films from Plastic Wastes
por: Saleem, Junaid, et al.
Publicado: (2022)