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Hydrogen bonding in DPD: application to low molecular weight alcohol–water mixtures
- Source :
- Physical Chemistry Chemical Physics, 18(14), 9554-9560. Royal Society of Chemistry
- Publication Year :
- 2016
- Publisher :
- Royal Society of Chemistry (RSC), 2016.
-
Abstract
- In this work we propose a computational approach to mimic hydrogen bonding in a widely used coarse-grained simulation method known as dissipative particle dynamics (DPD). The conventional DPD potential is modified by adding a Morse potential term to represent hydrogen bonding attraction. Morse potential parameters are calculated by a mapping of energetic and structural properties to those of atomistic scale simulations. By the addition of hydrogen bonding to DPD and with the proposed parameterization, the volumetric mixing behavior of low molecular weight alcohols and water is studied and experimentally observed negative volume excess is successfully predicted, contrary to the conventional DPD implementation. Moreover, the density-dependent DPD parameterization employed provides the asymmetrical shapes of the excess volume curves. In addition, alcohol surface enrichment at the air interface and self-assembly in the bulk is studied. The surface concentrations of alcohols at the air interface compare favorably with the experimental observations at all bulk-phase alcohol fractions and, in consonance with experiment, some clustering is observed.
- Subjects :
- Work (thermodynamics)
010304 chemical physics
Hydrogen bond
Dissipative particle dynamics
Mixing (process engineering)
General Physics and Astronomy
Thermodynamics
Alcohol
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
chemistry.chemical_compound
chemistry
Volume (thermodynamics)
Computational chemistry
0103 physical sciences
Physical and Theoretical Chemistry
0210 nano-technology
Volume excess
Morse potential
Subjects
Details
- ISSN :
- 14639084 and 14639076
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Physical Chemistry Chemical Physics
- Accession number :
- edsair.doi.dedup.....4c66025c421cc4e2c65c5d1d9f686e22
- Full Text :
- https://doi.org/10.1039/c6cp00729e