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Monte Carlo Calculations for Alcohols and Their Mixtures with Alkanes. Transferable Potentials for Phase Equilibria. 5. United-Atom Description of Primary, Secondary, and Tertiary Alcohols
Abstract
The transferable potentials for phase equilibria-united atom (TraPPE-UA) force field for hydrocarbons is extended to primary, secondary, and tertiary alcohols by introducing the following (pseudo-)atoms: common hydroxyl O and H for all alcohols, α-CH 3, α-CH 2, α-CH, and α-C for methanol, primary, secondary, and tertiary alcohols, respectively. In the TraPPE-UA force field, the nonbonded interactions of these sites are governed by Lennard−Jones 12−6 potentials and Coulombic interactions of fixed partial charges. The values of these partial charges were borrowed from the optimized potentials for liquid simulations-united atom (OPLS−UA) force field [Jorgensen, W. L. J. Phys. Chem. 1986, 90, 1276]. The Lennard−Jones well depth and size parameters for the new interaction sites were determined by fitting to the single-component vapor−liquid-phase equilibria of a few selected model compounds. Although the well-depth parameters for the α-carbons could be taken directly from the TraPPE-UA parameters for the corresponding pseudoatoms in alkanes, the size parameters required small adjustments to reflect the differences in C−C and C−O bond lengths and the reduced electron density for α-carbons. Coupled−decoupled configurational-bias Monte Carlo simulations in the Gibbs and grand-canonical ensembles were carried out to calculate the one-component vapor−liquid coexistence curves for methanol, ethanol, propan-1-ol, propan-2-ol, butan-2-ol, 2-methylpropan-2-ol, pentan-1-ol, pentane-1,5-diol, and octan-1-ol, and to determine the binary phase diagrams for the mixtures of n -hexane/methanol and n -hexane/ethanol. It was found that the phase equilibria of the pure alcohols are accurately described by the TraPPE-UA force field, with mean unsigned deviations of about 1% from the experimental data for the normal boiling points and the saturated liquid densities. The azeotropic compositions for n -hexane/methanol and n -hexane/ethanol were predicted to be 0.340 at T = 448.15 K and 0.454 at 413.15 K and (in mole fraction of n -hexane), which are in good agreement with the experimental results of 0.288 and 0.440, respectively. Analysis of the structures of the n -hexane/methanol mixtures shows evidence for significant enhancements in the local mole fraction of alcohols in the vicinity of other alcohols. The magnitude of these local enhancements decreases with increasing alcohol concentration, but the change is gradual and no discontinuity was observed at the azeotropic composition.
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Cites
CRC Handbook of Chemistry and Physics
(2014) · doi:10.1201/b17118 · Cited by 57,706
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Computer Simulation of Liquids
P, S., & J, K. (1988) · Journal of Molecular Liquids · doi:10.1016/0167-7322(88)80022-9 · Cited by 15,812
A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules
Cornell, W. D., Cieplak, P., Bayly, C. I., Gould, I. R., Merz, K. M., Ferguson, D. M., Spellmeyer, D. C., Fox, T., Caldwell, J. W., & Kollman, P. A. (1995) · Journal of the American Chemical Society · doi:10.1021/ja00124a002 · Cited by 13,103
CRC Handbook of Chemistry and Physics
P, D. (1992) · Journal of Molecular Structure · doi:10.1016/0022-2860(92)85083-s · Cited by 9,329
Transferable Potentials for Phase Equilibria. 1. United-Atom Description of n-Alkanes
Martin, M. G., & Siepmann, J. I. (1998) · The Journal of Physical Chemistry B · doi:10.1021/jp972543+ · Cited by 2,953
Self-citationNew Monte Carlo technique for studying phase transitions
Ferrenberg, A. M., & Swendsen, R. H. (1988) · Physical Review Letters · doi:10.1103/physrevlett.61.2635 · Cited by 2,673
Optimized Monte Carlo data analysis
Ferrenberg, A. M., & Swendsen, R. H. (1989) · Physical Review Letters · doi:10.1103/physrevlett.63.1195 · Cited by 2,590
Optimized intermolecular potential functions for liquid hydrocarbons
Jorgensen, W. L., Madura, J. D., & Swenson, C. J. (1984) · Journal of the American Chemical Society · doi:10.1021/ja00334a030 · Cited by 2,356
p-σ-π Analysis. A Method for the Correlation of Biological Activity and Chemical Structure
Hansch, C., & Fujita, T. (1964) · Journal of the American Chemical Society · doi:10.1021/ja01062a035 · Cited by 2,313
(1982) · Elsevier eBooks · doi:10.1016/c2013-0-04175-8 · Cited by 2,240
Panagiotopoulos, A. Z. (1987) · Molecular Physics · doi:10.1080/00268978700101491 · Cited by 1,990
PANAGIOTOPOULOS, A. Z. (2002) · Molecular Physics · doi:10.1080/00268970110097866 · Cited by 1,641
Ueber die Anwendung des Satzes vom Virial in der kinetischen Theorie der Gase
Lorentz, H. A. (1881) · Annalen der Physik · doi:10.1002/andp.18812480110 · Cited by 1,195
Panagiotopoulos, A. Z., Quirke, N., Stapleton, M., & Tildesley, D. J. (1988) · Molecular Physics · doi:10.1080/00268978800100361 · Cited by 1,166
Configurational bias Monte Carlo: a new sampling scheme for flexible chains
Siepmann, J. I., & Frenkel, D. (1992) · Molecular Physics · doi:10.1080/00268979200100061 · Cited by 1,117
Self-citationMartin, M. G., & Siepmann, J. I. (1999) · The Journal of Physical Chemistry B · doi:10.1021/jp984742e · Cited by 906
Self-citationMarcus, Y. (1998) · Medical Entomology and Zoology · Cited by 758
Wick, C. D., Martin, M. G., & Siepmann, J. I. (2000) · The Journal of Physical Chemistry B · doi:10.1021/jp001044x · Cited by 607
Self-citationMolecular dynamics simulation of a bilayer membrane
van der Ploeg, P., & Berendsen, H. J. C. (1982) · The Journal of Chemical Physics · doi:10.1063/1.443321 · Cited by 474
Simulating the critical behaviour of complex fluids
Siepmann, J. I., Karaborni, S., & Smit, B. (1993) · Nature · doi:10.1038/365330a0 · Cited by 469
Self-citationNovel scheme to study structural and thermal properties of continuously deformable molecules
Frenkel, D., Mooij, G. C. A. M., & Smit, B. (1992) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/4/12/006 · Cited by 462
Wood, W. W., & Parker, F. R. (1957) · The Journal of Chemical Physics · doi:10.1063/1.1743822 · Cited by 456
Simulation of polyethylene above and below the melting point
de Pablo, J. J., Laso, M., & Suter, U. W. (1992) · The Journal of Chemical Physics · doi:10.1063/1.462037 · Cited by 370
Computer simulations in the Gibbs ensemble
Smit, B., De Smedt, P., & Frenkel, D. (1989) · Molecular Physics · doi:10.1080/00268978900102641 · Cited by 351
Transferable Potentials for Phase Equilibria. 3. Explicit-Hydrogen Description of Normal Alkanes
Chen, B., & Siepmann, J. I. (1999) · The Journal of Physical Chemistry B · doi:10.1021/jp990822m · Cited by 304
Self-citationA method for the direct calculation of chemical potentials for dense chain systems
Siepmann, J. I. (1990) · Molecular Physics · doi:10.1080/00268979000101591 · Cited by 261
Self-citationImproving the efficiency of the configurational-bias Monte Carlo algorithm
VLUGT, T. J. H., MARTIN, M. G., SMIT, B., SIEPMANN, J. I., & KRISHNA, R. (1998) · Molecular Physics · doi:10.1080/00268979809482365 · Cited by 234
Self-citationNatural steric analysis: Ab initio van der Waals radii of atoms and ions
Badenhoop, J. K., & Weinhold, F. (1997) · The Journal of Chemical Physics · doi:10.1063/1.475149 · Cited by 182
Free radicals in lipid bilayers: new probes of lipid radical dynamics
Porter, N. A., Petter, R. C., & Brittain, W. J. (1984) · Journal of the American Chemical Society · doi:10.1021/ja00315a070 · Cited by 143
Parallel Monte Carlo simulations
Esselink, K., Loyens, L. D. J. C., & Smit, B. (1995) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.51.1560 · Cited by 120
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MULLER, M., KATSOV, K., & SCHICK, M. (2006) · Physics Reports · doi:10.1016/j.physrep.2006.08.003 · Cited by 320
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Farmahini, A. H., Krishnamurthy, S., Friedrich, D., Brandani, S., & Sarkisov, L. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c01266 · Cited by 7
Metadata
- Authors
- Chen, B., Potoff, J. J., & Siepmann, J. I.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-03-24
- Volume
- 105
- Issue
- 15
- Pages
- 3093-3104
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2010587930
- Cited by
- 835
- References
- 31
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- closed
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