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Related Concept Videos

Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
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Theory of Metallic Conduction01:17

Theory of Metallic Conduction

The conduction of free electrons inside a conductor is best described by quantum mechanics. However, a classical model makes predictions close to the results of quantum mechanics. It is called the theory of metallic conduction.
In this theory, Newton's second law of motion is used to determine the acceleration of an electron in the presence of an applied electric field. Then, its velocity is expressed via this acceleration.
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Determination of Molar Masses of Polymers II01:27

Determination of Molar Masses of Polymers II

Polymer samples typically consist of macromolecular chains with a distribution of lengths, resulting in a range of molar masses rather than a single discrete value. Conventional descriptors such as the number-average molar mass and weight-average molar mass quantify this distribution but do not fully capture polymer behavior in solution..The viscosity-average molar mass provides a more realistic description of polymer behavior in solution because it accounts for the enhanced contribution of...
Molecular Weight of Step-Growth Polymers01:08

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Debye–Huckel–Onsager Conductance Equation01:28

Debye–Huckel–Onsager Conductance Equation

The Debye-Hückel-Onsager equation is a cornerstone of physical chemistry, providing a method to determine the molar conductance (Λm) and molar conductance at infinite dilution (Λ°m) for uni-univalent electrolytes.Uni-univalent electrolytes are electrolytes that dissociate in solution to produce one cation with a +1 charge and one anion with a –1 charge per formula unit.This equation addresses two crucial phenomena: the asymmetry effect and the electrophoretic effect. According to this equation,...
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Related Experiment Video

Updated: Jul 13, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
06:37

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Published on: September 17, 2021

Nonequilibrium molecular dynamics methods for computing the thermal conductivity: application to amorphous polymers.

Takamichi Terao1, Enrico Lussetti, Florian Müller-Plathe

  • 1Department of Mathematical and Design Engineering, Gifu University, Gifu 501-1193, Japan.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 7, 2007
PubMed
Summary

We developed efficient simulation methods for calculating thermal conductivity in materials like polyamide-6,6. Results show thermal conductivity is sensitive to the model

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Last Updated: Jul 13, 2026

Analyzing Melts and Fluids from Ab Initio Molecular Dynamics Simulations with the UMD Package
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Published on: September 17, 2021

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06:55

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Characterization of Thermal Transport in One-dimensional Solid Materials
05:20

Characterization of Thermal Transport in One-dimensional Solid Materials

Published on: January 26, 2014

Area of Science:

  • Computational materials science
  • Polymer physics
  • Thermodynamics

Background:

  • Accurate calculation of thermal conductivity is crucial for material design.
  • Existing simulation methods may have limitations in scope or accuracy.
  • Amorphous polymers present unique challenges for thermal transport modeling.

Purpose of the Study:

  • To develop and validate novel nonequilibrium simulation methods for thermal conductivity calculations.
  • To assess the efficiency and applicability of these methods across different systems.
  • To investigate the thermal conductivity of amorphous polyamide-6,6.

Main Methods:

  • Development of two distinct nonequilibrium simulation algorithms.
  • Application of these methods to amorphous polyamide-6,6 models.
  • Systematic variation of constrained degrees of freedom in the polymer models.

Main Results:

  • The developed simulation methods demonstrate high accuracy and efficiency.
  • Thermal conductivity calculations were successfully performed on polyamide-6,6 systems.
  • A strong dependence of thermal conductivity on the number of constrained degrees of freedom was observed.

Conclusions:

  • The new simulation methods are versatile and can be applied to various systems without significant restrictions.
  • The findings highlight the importance of considering molecular mobility for accurate thermal conductivity predictions in polymers.
  • These methods offer a promising approach for future material property simulations.