Toward High-Throughput Computational Screening of Carbon Nanotube Solvents
We use the corresponding distances method (CDM) to computationally assess the quality of 10 experimentally tested carbon nanotube (CNT) solvents. The CDM produces accurate and high-resolution potential of mean force curves from a single simulation per solvent. The method’s very high efficiency allow...
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Published in: | Langmuir Vol. 33; no. 43; pp. 12267 - 12275 |
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Main Authors: | , |
Format: | Journal Article |
Language: | English |
Published: |
United States
American Chemical Society
31-10-2017
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Online Access: | Get full text |
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Summary: | We use the corresponding distances method (CDM) to computationally assess the quality of 10 experimentally tested carbon nanotube (CNT) solvents. The CDM produces accurate and high-resolution potential of mean force curves from a single simulation per solvent. The method’s very high efficiency allows us to investigate an unprecedented number of solvents in one study. The simulation results indicate that none of the tested molecules are solvents in the thermodynamic sense; instead, they are dispersants preventing reaggregation of already dispersed CNTs. We find that the dispersion free energy barrier correlates very well with the experimentally measured performance of the dispersants; i.e., the simulations place the solvents in the correct performance order. Our analysis of the structure–function relationship rationalizes this order. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0743-7463 1520-5827 |
DOI: | 10.1021/acs.langmuir.7b02600 |