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Related Concept Videos

Entropy and Solvation02:05

Entropy and Solvation

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The process of surrounding a solute with solvent is called solvation. It involves evenly distributing the solute within the solvent. The rule of thumb for determining a solvent for a given compound is that like dissolves like. A good solvent has molecular characteristics similar to those of the compound to be dissolved. For example, polar solutions dissolve polar solutes, and apolar solvents dissolve apolar solutes. A polar solvent is a solvent that has a high dielectric constant (ϵ...
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There are two criteria that favor, but do not guarantee, the spontaneous formation of a solution:
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Aqueous Solutions and Heats of Hydration02:42

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Water and other polar molecules are attracted to ions. The electrostatic attraction between an ion and a molecule with a dipole is called an ion-dipole attraction. These attractions play an important role in the dissolution of ionic compounds in water.
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
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Chemical Shift: Internal References and Solvent Effects01:17

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In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
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¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Molecular Geometry and Dipole Moments02:36

Molecular Geometry and Dipole Moments

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The VSEPR theory can be used to determine the electron pair geometries and molecular structures as follows:
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Updated: Jan 2, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Computing Spatially Resolved Rotational Hydration Entropies from Atomistic Simulations.

Leonard P Heinz1, Helmut Grubmüller1

  • 1Department of Theoretical and Computational Biophysics , Max-Planck Institute for Biophysical Chemistry , 37077 Göttingen , Germany.

Journal of Chemical Theory and Computation
|December 12, 2019
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Summary
This summary is machine-generated.

Calculating spatially resolved rotational solvent entropies is crucial for understanding biomolecular stability and the hydrophobic effect. Our new method provides accurate, high-resolution entropy calculations, advancing solvation thermodynamics.

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Area of Science:

  • Physical Chemistry
  • Computational Biology
  • Statistical Mechanics

Background:

  • Understanding macromolecular processes requires quantitative free energy landscape analysis, particularly entropy contributions.
  • Biomolecular stability, like protein folding, is influenced by the hydrophobic effect, a balance of enthalpy and entropy in solvent shells.
  • Calculating spatially resolved solvation shell entropies is challenging with current methods.

Purpose of the Study:

  • To develop a novel method for computing spatially resolved rotational solvent entropies.
  • To enhance the understanding of the hydrophobic effect and solvation thermodynamics.
  • To provide a tool for accurate entropy calculations in biomolecular simulations.

Main Methods:

  • Utilized a nonparametric k-nearest-neighbor density estimator.
  • Developed a method for computing spatially resolved rotational solvent entropies.
  • Validated the method with analytic test distributions and atomistic simulations of a water box.

Main Results:

  • Achieved accuracy better than 9.6% in entropy calculations.
  • Demonstrated the capability to compute spatially resolved rotational solvent entropies.
  • Successfully applied the method to atomistic simulations.

Conclusions:

  • The developed method offers accurate, spatially resolved calculations of rotational solvent entropies.
  • This advancement provides new insights into the hydrophobic effect and solvation thermodynamics.
  • The technique is valuable for studying macromolecular processes and biomolecular stability.