Data Mining for Binary Separation Materials in Published Adsorption Isotherms
| Autor: | Paul Iacomi, Philip L. Llewellyn |
|---|---|
| Přispěvatelé: | Matériaux divisés, interfaces, réactivité, électrochimie (MADIREL), Aix Marseille Université (AMU)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU) |
| Rok vydání: | 2020 |
| Předmět: |
business.industry
Computer science General Chemical Engineering Separation (statistics) Binary number [CHIM.MATE]Chemical Sciences/Material chemistry 02 engineering and technology General Chemistry Scientific literature 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Adsorption Materials Chemistry 0210 nano-technology Process engineering business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Chemistry of Materials Chemistry of Materials, American Chemical Society, 2020, 32 (3), pp.982-991. ⟨10.1021/acs.chemmater.9b03376⟩ Chemistry of Materials, 2020, 32 (3), pp.982-991. ⟨10.1021/acs.chemmater.9b03376⟩ |
| ISSN: | 1520-5002 0897-4756 |
| DOI: | 10.1021/acs.chemmater.9b03376 |
| Popis: | The scientific literature is replete with data describing novel porous structures, making the selection of an adsorbent for storage and separation applications a difficult task, and often leading t... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|