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Related Concept Videos

Solvents01:12

Solvents

67.8K
A solvent is a substance, most often a liquid, that can dissolve other substances. Here, the substance being dissolved is called a solute. When a solvent and a solute combine, they form a solution - a homogenous mixture of both the solvent and the solute. Water is a universal biological solvent. Its polar structure allows it to dissolve many other polar compounds. The ability of water to dissolve is governed by a balance between water molecules binding to each other and binding to the solute.
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Ideal Solutions02:24

Ideal Solutions

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According to Raoult’s law, the partial vapor pressure of a solvent in a solution is equal or identical to the vapor pressure of the pure solvent multiplied by its mole fraction in the solution. However, Raoult's Law is only valid for ideal solutions. For a solution to be ideal, the solvent-solute interaction must be just as strong as a solvent-solvent or solute-solute interaction. This suggests that both the solute and the solvent would use the same amount of energy to escape to the...
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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...
7.4K
Chemical and Solubility Equilibria02:21

Chemical and Solubility Equilibria

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The free energy change associated with dissolving a solute in a liter of solvent is called the free energy of a solution, ΔGsolution. The overall ΔGsolution is expressed as the balance of ΔGinteraction against the always-favorable free-energy of mixing, ΔGmixing. Solution formation is favorable if  ΔGsolution is less than zero, whereas it is unfavorable if ΔGsolution is greater than zero. In short, for a solution to form and complete dissolution to take place,...
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Energetics of Solution Formation02:35

Energetics of Solution Formation

7.0K
The formation of a solution is an example of a spontaneous process, which is a process that occurs under specified conditions without energy from some external source.
When the strengths of the intermolecular forces of attraction between solute and solvent species in a solution are no different than those present in the separated components, the solution is formed with no accompanying energy change. Formation of the solution requires the solute–solute and solvent–solvent...
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Solubility Equilibria: Overview01:09

Solubility Equilibria: Overview

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When a substance such as sodium chloride is added to water, it dissolves, forming an aqueous solution. The extent of dissolution is called solubility. The process of dissolution can exist in equilibrium, just like other chemical processes. Solubility equilibria are also called precipitation equilibria because the process of solubility can be reversible. The reverse of the solubility process is called precipitation.
Solubility is important in biological and environmental processes. A notable...
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Preparation of Binary and Ternary Deep Eutectic Systems
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Computer Simulations of Deep Eutectic Solvents: Challenges, Solutions, and Perspectives.

Dmitry Tolmachev1, Natalia Lukasheva1, Ruslan Ramazanov1

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Deep eutectic solvents (DESs) are versatile and rapidly evolving. Computational methods, including simulations and machine learning, are crucial for understanding DES properties and expanding their applications in diverse fields.

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Area of Science:

  • Materials Science
  • Computational Chemistry

Background:

  • Deep eutectic solvents (DESs) are a rapidly advancing class of solvents with broad applications.
  • Expanding applications necessitate the development of novel DESs with enhanced properties.
  • Understanding the structure-property relationship is key to designing new DESs.

Purpose of the Study:

  • To review the current state of computational research on DESs.
  • To detail the technical aspects of DES simulations.
  • To explore future perspectives for computational DES research and applications.

Main Methods:

  • Review of computational studies on DESs.
  • Analysis of simulation techniques for DES characterization.
  • Discussion of machine learning applications in DES research.

Main Results:

  • Computational methods, including simulations and machine learning, are effective for predicting DES properties and revealing mechanisms.
  • These methods can be readily integrated with experimental data.
  • Current research frontiers in computational DES studies are highlighted.

Conclusions:

  • Computational approaches are vital for advancing the understanding and design of DESs.
  • Further integration of computational and experimental methods will accelerate DES development.
  • The review provides insights into future research directions for DES applications.