Computing Mixture Adsorption in Porous Materials through Flat Histogram Monte Carlo Methods
Mixture adsorption properties of porous materials are critical to determine their potential as adsorbents in separation applications. Toward the discovery of optimal adsorbents, in silico screening studies typically employ the grand canonical Monte Carlo (GCMC) technique to compute adsorption proper...
| Veröffentlicht in: | Langmuir : the ACS journal of surfaces and colloids. - 1999. - 39(2023), 43 vom: 31. Okt., Seite 15380-15390 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2023
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| Zugriff auf das übergeordnete Werk: | Langmuir : the ACS journal of surfaces and colloids |
| Schlagworte: | Journal Article |
| Online verfügbar |
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