Raymond D. Mountain
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Raymond D. Mountain has a total of 26 co-authors. Here are the top co-authors by number of shared publications:
- Allan H. Harvey
Applied Chemicals and Materials Division, National Institute of Standards and Technology, Boulder, USA
3 shared publications Anne Chaka
National Institute of Standards and Technology (NIST), 100 Bureau Drive Stop 8443, Gaithersburg, MD 20899-8440, USA
2 shared publications- Daniel. W. Siderius
Chemical Sciences Division, National Institute of Standards and Technology, Gaithersburg, MD, USA
2 shared publications Eric A. Stahlberg
Ohio Supercomputer Center, Columbus, OH, USA
2 shared publicationsFiona H. Case
Case Scientific, Essex Junction, VT 05452, USA
2 shared publicationsJames D. Olson
The Dow Chemical Company, S. Charleston, WV 25303, USA
2 shared publications
Latest Publications
- 2 June 2020
- Published by Royal Society of Chemistry (RSC) in Physical Chemistry Chemical Physics
- Vol. 22 (24) , 13479-13488
Ion and water transport reasonably involves rotation and pseudorotation: measurement and modeling the temperature dependence of small-angle neutron scattering from aqueous SrI2
SrI2 ions at 0.8 M in water are present with a structure that can scatter neutrons, and, within experimental uncertainty, the structure does not change between 10 °C and 90 °C, showing an organization that must be reconciled with ionic transport.
- 2 June 2020
- Published by Royal Society of Chemistry (RSC) in Physical Chemistry Chemical Physics
- Vol. 22 (24) , 13479-13488
Ion and water transport reasonably involves rotation and pseudorotation: measurement and modeling the temperature dependence of small-angle neutron scattering from aqueous SrI2
SrI2 ions at 0.8 M in water are present with a structure that can scatter neutrons, and, within experimental uncertainty, the structure does not change between 10 °C and 90 °C, showing an organization that must be reconciled with ionic transport.
- 16 August 2017
- Published by Springer Nature in International Journal of Thermophysics
- Vol. 38 (10) , 147
Correlations for the Dielectric Constants of $\hbox {H}_{2}\hbox {S}$ H 2 S , $\hbox {SO}_{2}$ SO 2 , and $\hbox {SF}_{6}$ SF 6A new method is developed for correlating the static dielectric constant of polar fluids over wide ranges of conditions where few experimental data exist. Molecular dynamics simulations are used to establish the temperature and density dependence of the Kirkwood g-factor, and also the functional form for the increase of the effective dipole moment with density. Most parameters in the model are obtained entirely from simulation; a single proportionality constant is adjusted to obtain agreement with the limited experimental data. The method is applied to hydrogen sulfide (\(\hbox {H}_{2}\hbox {S}\)) and sulfur dioxide \((\hbox {SO}_{2})\), both of which are important in geochemistry but have only a few dielectric data available. The resulting correlations agree well with the available liquid data, obey physical boundary conditions at low density and at high temperature, and interpolate in density and temperature in a physically reasonable manner. In addition, we present a more conventional correlation for the dielectric constant of sulfur hexafluoride, \(\hbox {SF}_{6}\), where more data are available.- 16 August 2017
- Published by Springer Nature in International Journal of Thermophysics
- Vol. 38 (10) , 147
Correlations for the Dielectric Constants of $\hbox {H}_{2}\hbox {S}$ H 2 S , $\hbox {SO}_{2}$ SO 2 , and $\hbox {SF}_{6}$ SF 6A new method is developed for correlating the static dielectric constant of polar fluids over wide ranges of conditions where few experimental data exist. Molecular dynamics simulations are used to establish the temperature and density dependence of the Kirkwood g-factor, and also the functional form for the increase of the effective dipole moment with density. Most parameters in the model are obtained entirely from simulation; a single proportionality constant is adjusted to obtain agreement with the limited experimental data. The method is applied to hydrogen sulfide (\(\hbox {H}_{2}\hbox {S}\)) and sulfur dioxide \((\hbox {SO}_{2})\), both of which are important in geochemistry but have only a few dielectric data available. The resulting correlations agree well with the available liquid data, obey physical boundary conditions at low density and at high temperature, and interpolate in density and temperature in a physically reasonable manner. In addition, we present a more conventional correlation for the dielectric constant of sulfur hexafluoride, \(\hbox {SF}_{6}\), where more data are available.- 27 October 2015
- Published by Springer Nature in Journal of Solution Chemistry
- Vol. 44 (11) , 2179-2193
Molecular Dynamics Evaluation of Dielectric Constant Mixing Rules for H2O–CO2 at Geologic Conditions
Modeling of mineral reaction equilibria and aqueous-phase speciation of C–O–H fluids requires the dielectric constant of the fluid mixture, which is not known from experiment and is typically estimated by some rule for mixing pure component values. In order to evaluate different proposed mixing rules, we use molecular dynamics simulation to calculate the dielectric constant of a model H2O–CO2 mixture at temperatures of 700 and 1000 K at pressures up to 3 GPa. We find that theoretically based mixing rules that depend on combining the molar polarizations of the pure fluids systematically overestimate the dielectric constant of the mixture, as would be expected for mixtures of nonpolar and strongly polar components. The commonly used semiempirical mixing rule due to Looyenga works well for this system at the lower pressures studied but somewhat underestimates the dielectric constant at higher pressures and densities, especially at the water-rich end of the composition range.
- 27 October 2015
- Published by Springer Nature in Journal of Solution Chemistry
- Vol. 44 (11) , 2179-2193
Molecular Dynamics Evaluation of Dielectric Constant Mixing Rules for H2O–CO2 at Geologic Conditions
Modeling of mineral reaction equilibria and aqueous-phase speciation of C–O–H fluids requires the dielectric constant of the fluid mixture, which is not known from experiment and is typically estimated by some rule for mixing pure component values. In order to evaluate different proposed mixing rules, we use molecular dynamics simulation to calculate the dielectric constant of a model H2O–CO2 mixture at temperatures of 700 and 1000 K at pressures up to 3 GPa. We find that theoretically based mixing rules that depend on combining the molar polarizations of the pure fluids systematically overestimate the dielectric constant of the mixture, as would be expected for mixtures of nonpolar and strongly polar components. The commonly used semiempirical mixing rule due to Looyenga works well for this system at the lower pressures studied but somewhat underestimates the dielectric constant at higher pressures and densities, especially at the water-rich end of the composition range.
- 1 March 2014
- Published by Elsevier in Fluid Phase Equilibria
- Vol. 366, 136-140
The seventh industrial fluid properties simulation challenge
- 1 March 2014
- Published by Elsevier in Fluid Phase Equilibria
- Vol. 366, 136-140
The seventh industrial fluid properties simulation challenge
- 1 March 2014
- Published by Elsevier in Fluid Phase Equilibria
- Vol. 366, 141-145
Perfluorohexane adsorption in BCR-704 Faujasite zeolite benchmark studies for the seventh industrial fluid properties simulation challenge
- 1 March 2014
- Published by Elsevier in Fluid Phase Equilibria
- Vol. 366, 141-145
Perfluorohexane adsorption in BCR-704 Faujasite zeolite benchmark studies for the seventh industrial fluid properties simulation challenge
- 15 February 2013
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 117 (8) , 3923-3929
Molecular Dynamics Simulation of Water–Acetonitrile Mixtures in a Silica Slit
- 15 February 2013
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry C
- Vol. 117 (8) , 3923-3929
Molecular Dynamics Simulation of Water–Acetonitrile Mixtures in a Silica Slit
- 19 November 2010
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry B
- Vol. 114 (49) , 16460-16464
Microstructure and Hydrogen Bonding in Water−Acetonitrile Mixtures
The connection of hydrogen bonding between water and acetonitrile in determining the microheterogeneity of the liquid mixture is examined using NPT molecular dynamics simulations. Mixtures for six, rigid, three-site models for acetonitrile and one water model (SPC/E) were simulated to determine the amount of water−acetonitrile hydrogen bonding. Only one of the six acetonitrile models (TraPPE-UA) was able to reproduce both the liquid density and the expermental estimates of hydrogen bonding derived from Raman scattering of the CN stretch band or from NMR quadrupole relaxation measurements. A simple modification of the acetonitrile model parameters for the models that provided poor estimates produced hydrogen-bonding results consistent with experiments for two of the models. Of these, only one of the modified models also accurately determined the density of the mixtures. The self-diffusion coefficient of liquid acetonitrile provided a final winnowing of the modified model and the successful, unmodified model. The unmodified model is provisionally recommended for simulations of water−acetonitrile mixtures.
- 19 November 2010
- Published by American Chemical Society (ACS) in The Journal of Physical Chemistry B
- Vol. 114 (49) , 16460-16464
Microstructure and Hydrogen Bonding in Water−Acetonitrile Mixtures
The connection of hydrogen bonding between water and acetonitrile in determining the microheterogeneity of the liquid mixture is examined using NPT molecular dynamics simulations. Mixtures for six, rigid, three-site models for acetonitrile and one water model (SPC/E) were simulated to determine the amount of water−acetonitrile hydrogen bonding. Only one of the six acetonitrile models (TraPPE-UA) was able to reproduce both the liquid density and the expermental estimates of hydrogen bonding derived from Raman scattering of the CN stretch band or from NMR quadrupole relaxation measurements. A simple modification of the acetonitrile model parameters for the models that provided poor estimates produced hydrogen-bonding results consistent with experiments for two of the models. Of these, only one of the modified models also accurately determined the density of the mixtures. The self-diffusion coefficient of liquid acetonitrile provided a final winnowing of the modified model and the successful, unmodified model. The unmodified model is provisionally recommended for simulations of water−acetonitrile mixtures.
- 22 January 2010
- Published by Springer Nature in International Journal of Thermophysics
- Vol. 31 (4) , 766-773
Ergodic Convergence Times for Molecular Liquids
- 22 January 2010
- Published by Springer Nature in International Journal of Thermophysics
- Vol. 31 (4) , 766-773
Ergodic Convergence Times for Molecular Liquids
- 1 November 2009
- Published by Elsevier in Fluid Phase Equilibria
- Vol. 285 (1-2) , 1-3
The fifth industrial fluid properties simulation challenge
- 1 November 2009
- Published by Elsevier in Fluid Phase Equilibria
- Vol. 285 (1-2) , 1-3
The fifth industrial fluid properties simulation challenge