Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Free energy and entropy for inserting cavities in water: Comparison of Monte Carlo simulation and scaled particle theory results

View through CrossRef
The process of inserting cavities in water is studied with the aim of a better description of some of the terms necessary in continuum quantum mechanical models. Free-energy changes for the formation of soft and hard spherical cavities in TIP4P water have been computed by Monte Carlo (MC) simulation with statistical perturbation theory, up to a radius of 6 Å. The free-energy change for the formation of a hard sphere, ΔGcav, is obtained combining the ΔGsol of a soft repulsive sphere with the ΔG corresponding to the process of transforming the soft sphere into a hard one. Two definitions of hard-sphere repulsive potentials have been considered, one only based on the distance of oxygens from the center of the cavity, while the other also excludes hydrogens from the same region. Differences in free energies are significant. The cubic polynomial expression ΔGcav, obtained by extrapolating the exact scaled particle theory (SPT) expression for very small excluding cavities, gives results in agreement with MC, with effective “hard-sphere” diameter for water larger than 2.77 Å. The SPT prediction is compared with other treatments based on surface tension. It is shown that a properly chosen surface and an “effective” surface tension of water lead to a good agreement with MC ΔGcav without curvature or microscopic corrections. The “effective” surface tension of water turns out to be very close to the experimental value. Some different simple ways to extend SPT expression to nonspherical cavities have been compared, for a limited number of nonspherical convex cavities modeled as n interlocking spheres, meant to mimic n-alkanes in the all-staggered conformation. Entropy changes for soft cavities have been computed with two methods, i.e., combining free energy and enthalpy computations and by finite difference methods. Discrepancies between SPT predictions and MC results are significant. The calculated probability distributions of relevant angles of first hydration shell waters are consistent with orientations where no O–H or O–lone pair vector points towards the cavity. Their variation when the cavity size increases is mostly quantitative and only the broadening of the bands observed for the largest cavities might indicate the early stage of the transition to hydration patterns peculiar to an infinite hydrophobic surface.
Title: Free energy and entropy for inserting cavities in water: Comparison of Monte Carlo simulation and scaled particle theory results
Description:
The process of inserting cavities in water is studied with the aim of a better description of some of the terms necessary in continuum quantum mechanical models.
Free-energy changes for the formation of soft and hard spherical cavities in TIP4P water have been computed by Monte Carlo (MC) simulation with statistical perturbation theory, up to a radius of 6 Å.
The free-energy change for the formation of a hard sphere, ΔGcav, is obtained combining the ΔGsol of a soft repulsive sphere with the ΔG corresponding to the process of transforming the soft sphere into a hard one.
Two definitions of hard-sphere repulsive potentials have been considered, one only based on the distance of oxygens from the center of the cavity, while the other also excludes hydrogens from the same region.
Differences in free energies are significant.
The cubic polynomial expression ΔGcav, obtained by extrapolating the exact scaled particle theory (SPT) expression for very small excluding cavities, gives results in agreement with MC, with effective “hard-sphere” diameter for water larger than 2.
77 Å.
The SPT prediction is compared with other treatments based on surface tension.
It is shown that a properly chosen surface and an “effective” surface tension of water lead to a good agreement with MC ΔGcav without curvature or microscopic corrections.
The “effective” surface tension of water turns out to be very close to the experimental value.
Some different simple ways to extend SPT expression to nonspherical cavities have been compared, for a limited number of nonspherical convex cavities modeled as n interlocking spheres, meant to mimic n-alkanes in the all-staggered conformation.
Entropy changes for soft cavities have been computed with two methods, i.
e.
, combining free energy and enthalpy computations and by finite difference methods.
Discrepancies between SPT predictions and MC results are significant.
The calculated probability distributions of relevant angles of first hydration shell waters are consistent with orientations where no O–H or O–lone pair vector points towards the cavity.
Their variation when the cavity size increases is mostly quantitative and only the broadening of the bands observed for the largest cavities might indicate the early stage of the transition to hydration patterns peculiar to an infinite hydrophobic surface.

Related Results

Monte Carlo methods: barrier option pricing with stable Greeks and multilevel Monte Carlo learning
Monte Carlo methods: barrier option pricing with stable Greeks and multilevel Monte Carlo learning
For discretely observed barrier options, there exists no closed solution under the Black-Scholes model. Thus, it is often helpful to use Monte Carlo simulations, which are easily a...
Research on Multi-Group Monte Carlo Calculations Based on Group Constants Generated by RMC
Research on Multi-Group Monte Carlo Calculations Based on Group Constants Generated by RMC
Abstract Nowadays, deterministic two-step or Monte Carlo methods are commonly used in core physics calculations. However, with the development of reactor core design, tradi...
Automation of the Monte Carlo simulation of medical linear accelerators
Automation of the Monte Carlo simulation of medical linear accelerators
The main result of this thesis is a software system, called PRIMO, which simulates clinical linear accelerators and the subsequent dose distributions using the Monte Carlo method. ...
Development of advanced geometric models and acceleration techniques for Monte Carlo simulation in Medical Physics
Development of advanced geometric models and acceleration techniques for Monte Carlo simulation in Medical Physics
Els programes de simulació Monte Carlo de caràcter general s'utilitzen actualment en una gran varietat d'aplicacions.<br/>Tot i això, els models geomètrics implementats en la...
Artificial Intelligence for Monte Carlo Simulation in Medical Physics
Artificial Intelligence for Monte Carlo Simulation in Medical Physics
Monte Carlo simulation of particle tracking in matter is the reference simulation method in the field of medical physics. It is heavily used in various applications such as 1) pati...
Thermodynamics, Infodynamics and Emergence
Thermodynamics, Infodynamics and Emergence
Emergence of novel processes, properties, structures, and systems is a poorly understood phenomenon. Emergence, information and energy are interrelated properties of nature: it tak...
Thermodynamics, Infodynamics and Emergence
Thermodynamics, Infodynamics and Emergence
Emergence, information and energy are interrelated properties of nature: it takes free energy (energy that produces work, designed as F) to acquire information, and it takes inform...

Back to Top