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Related Concept Videos

Supercritical Fluid Chromatography01:18

Supercritical Fluid Chromatography

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Supercritical fluid chromatography (SFC) provides a beneficial substitute for gas chromatography (GC) and liquid chromatography (LC) for certain samples because it merges the top attributes of both techniques. SFC allows the separation and analysis of compounds that GC or LC does not easily manage. These compounds are traditionally nonvolatile or thermally unstable, making GC unsuitable and lacking functional groups required for HPLC analysis.
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Capillarity in Fluid01:19

Capillarity in Fluid

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Capillarity describes the movement of liquid in small spaces without external forces acting on it. The capillarity is driven by surface tension and adhesive interactions between the liquid and surrounding solid surfaces. This effect is often seen in narrow tubes, porous materials, and fine particles.
Surface tension is crucial to capillarity. It results from cohesive forces between liquid molecules at the liquid-air boundary, forming a skin that resists external forces. When the capillary tube...
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Characteristics of Fluids01:31

Characteristics of Fluids

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Fluids differ from solids primarily in their molecular structure and stress response. Solids have tightly packed molecules with strong intermolecular forces, maintaining their shape and resisting deformation. In contrast, fluids have molecules spaced farther apart with weaker forces, allowing them to flow and deform easily.
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Network Covalent Solids02:18

Network Covalent Solids

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
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Dimensionless Groups in Fluid Mechanics01:15

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Dimensionless groups in fluid mechanics provide simplified ratios that help analyze fluid behavior without relying on specific units. The Reynolds number (Re), which represents the ratio of inertial to viscous forces, distinguishes between laminar and turbulent flows, making it essential in the design of pipelines and aerodynamic surfaces. The Froude number (Fr), the ratio of inertial to gravitational forces, is particularly useful in predicting wave formation and hydraulic jumps in...
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Intermolecular Forces in Solutions02:28

Intermolecular Forces in Solutions

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The formation of a solution is an example of a spontaneous process, a process that occurs under specified conditions without energy from some external source.
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Supercritical Nitrogen Processing for the Purification of Reactive Porous Materials
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Supercritical fluids behave as complex networks.

Filip Simeski1, Matthias Ihme2,3

  • 1Department of Mechanical Engineering, Stanford University, Stanford, CA, 94305, USA.

Nature Communications
|April 9, 2023
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Summary
This summary is machine-generated.

Researchers discovered self-similar molecular clusters in supercritical fluids, revealing complex network behavior. This finding connects fluid microstructure to thermodynamic properties, aiding in developing new constitutive models.

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Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
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Last Updated: Aug 3, 2025

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Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
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Area of Science:

  • Thermodynamics
  • Materials Science
  • Chemical Engineering

Background:

  • Supercritical fluids are crucial in environmental, geological, celestial processes, and scientific applications.
  • Their thermodynamic response functions show significant variations, potentially linked to microstructural behavior.
  • A direct link between thermodynamic conditions and molecular cluster behavior in supercritical fluids is not well-established.

Purpose of the Study:

  • To establish a direct connection between thermodynamic conditions and the microstructural behavior of supercritical fluids.
  • To identify and characterize molecular clusters within supercritical fluids.
  • To develop models that describe the structural and dynamical response of supercritical fluids.

Main Methods:

  • Utilized a first-principles-based criterion for identifying molecular clusters.
  • Employed self-similarity analysis in the extended supercritical phase space.
  • Applied a hidden variable network model to describe fluid behavior.

Main Results:

  • Identified energetically localized molecular clusters exhibiting self-similar size distribution and connectivity.
  • Demonstrated that cluster structural response follows complex network behavior driven by isotropic molecular interactions.
  • Validated a hidden variable network model for accurately describing supercritical fluid dynamics.

Conclusions:

  • The study establishes a link between supercritical fluid microstructure and thermodynamic response functions.
  • Identified molecular clusters and their network behavior are key to understanding supercritical fluid dynamics.
  • Results necessitate the development of advanced constitutive models for supercritical fluids.