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Related Concept Videos

Two Components: Liquid–Liquid Systems01:27

Two Components: Liquid–Liquid Systems

A pressure-composition phase diagram explicitly describes the behavior of an ideal solution of two volatile liquids under varying pressures and compositions. A pressure-composition diagram has two main curves. The bubble point curve represents the plot of pressure versus liquid mole fraction. It indicates the pressure at which the first bubble of vapor forms from the liquid phase as the system pressure decreases.The dew point curve is the pressure versus vapor mole fraction. It indicates the...
Liquid–Solid Solutions01:29

Liquid–Solid Solutions

The process of a solid dissolving in a liquid to form a solution is governed by the solubility limit, which is the maximum amount of the solid substance, or solute, that can be dissolved in a specific volume of the liquid or solvent. As the solute dissolves, it reaches a point where no more solute can be dissolved at a given temperature - this is known as the saturation point. However, if further solute is added and it manages to dissolve, the solution becomes supersaturated. Supersaturated...
Molecular Comparison of Gases, Liquids, and Solids02:26

Molecular Comparison of Gases, Liquids, and Solids

Particles in a solid are tightly packed together (fixed shape) and often arranged in a regular pattern; in a liquid, they are close together with no regular arrangement (no fixed shape); in a gas, they are far apart with no regular arrangement (no fixed shape). Particles in a solid vibrate about fixed positions (cannot flow) and do not generally move in relation to one another; in a liquid, they move past each other (can flow) but remain in essentially constant contact; in a gas, they move...
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Nonideal Two-Component Liquid Solutions

Nonideal liquid solutions, also known as real solutions, do not strictly follow Raoult's law. Raoult's law is a rule of thumb in physical chemistry. However, not all mixtures adhere to this law due to varying molecular interactions. For example, in an acetone/chloroform solution, the individual vapor pressures of the components are lower than expected, resulting in a total vapor pressure below that predicted by Raoult's law, causing a negative deviation.On the other hand, in an ethanol/water...
The Joule and Joule–Thomson Experiments01:23

The Joule and Joule–Thomson Experiments

Consider an adiabatic system composed of two chambers, A and B, designed such that no heat flows into or out of the system. Initially, chamber A is filled with a gas at a fixed temperature T1, pressure p1, and volume V1, while chamber B is evacuated. The gas is then gradually forced through a rigid, porous barrier to chamber B, ultimately reaching temperature T2, pressure p2, and volume V2. A piston on the right side maintains a constant pressure (p2), which is lower than p1. The significant...
The Equilibrium Constant03:10

The Equilibrium Constant

Consider the oxidation of sulfur dioxide:

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Synthesizing Lipid Nanoparticles by Turbulent Flow in Confined Impinging Jet Mixers
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Published on: August 23, 2024

Gas-liquid nucleation in a two dimensional system.

Mantu Santra1, Suman Chakrabarty, Biman Bagchi

  • 1Solid State and Structural Chemistry Unit, Indian Institute of Science, Bangalore 560012, India.

The Journal of Chemical Physics
|December 24, 2008
PubMed
Summary
This summary is machine-generated.

Two-dimensional nucleation simulations reveal that classical nucleation theory inaccurately predicts free energy barriers. Accurate results require large cutoffs in particle interactions, highlighting limitations in current nucleation models.

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Area of Science:

  • Physical Chemistry
  • Computational Physics
  • Materials Science

Background:

  • Nucleation is a fundamental process in phase transitions.
  • Classical nucleation theory (CNT) provides a theoretical framework but has limitations.

Purpose of the Study:

  • Investigate two-dimensional nucleation from supersaturated vapor using Lennard-Jones potential.
  • Calculate nucleation barriers, line tension, and critical nucleus properties.
  • Assess the accuracy of classical nucleation theory in 2D.

Main Methods:

  • Monte Carlo simulations were employed.
  • Calculated free energy barriers, line tension, and bulk densities.
  • Analyzed critical nucleus size and shape.

Main Results:

  • Large cutoffs (> 7.0 sigma) are crucial for converged 2D nucleation results.
  • Lower cutoffs (2.5 sigma) introduce significant errors in nucleation parameters.
  • CNT underestimates 2D nucleation barriers by up to 50% at S=1.1, T*=0.427.
  • CNT's accuracy is worse in 2D than in 3D.

Conclusions:

  • Classical nucleation theory fails to accurately predict 2D nucleation barriers.
  • The non-circular shape of critical clusters contributes to CNT's inaccuracy.
  • Accurate 2D nucleation studies necessitate careful consideration of interaction potential cutoffs.