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Polymers02:34

Polymers

41.1K
The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the...
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Polymers02:34

Polymers

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Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism01:21

Factors Affecting Dissolution: Polymorphism, Amorphism and Pseudopolymorphism

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Polymorphism refers to the existence of a drug substance in multiple crystalline forms, known as polymorphs. Recently, this term has been expanded to include solvates (forms containing a solvent), amorphous forms (non-crystalline forms), and desolvated solvates (forms from which the solvent has been removed).
Some polymorphic crystals possess lower aqueous solubility than their amorphous counterparts, leading to incomplete absorption. For instance, the oral suspension of Chloramphenicol, which...
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Polymer Classification: Architecture01:14

Polymer Classification: Architecture

3.9K
Polymers are classified as linear or branched on the basis of their chain architecture. The polymer chains in linear polymers have a long chain-like structure with minimal to no branching at all. Even if a polymer features large substituent groups on the monomer, which appear as branches to the skeleton, it is not considered a branched polymer. A branched polymer contains secondary polymer chains that arise from the main polymer chain. The branching occurs when the polymer growth shifts from...
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Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

4.0K
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.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
4.0K
Polymer Classification: Stereospecificity01:26

Polymer Classification: Stereospecificity

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Polymerization generates chiral centers along the entire backbone of a polymer chain. Accordingly, the stereochemistry of the substituent group has a significant effect on polymer properties. Polymers formed from monosubstituted alkene monomers feature chiral carbons at every alternate position in the polymer backbone. Relative to the predominant orientation of substituents at the adjacent chiral carbons, the polymer can exist in three different configurations: isotactic, syndiotactic, and...
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Layer-by-layer Synthesis and Transfer of Freestanding Conjugated Microporous Polymer Nanomembranes
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Modeling Amorphous Microporous Polymers for CO2 Capture and Separations.

Grit Kupgan1,2,3, Lauren J Abbott4, Kyle E Hart4

  • 1Department of Materials Science and Engineering , University of Florida , Gainesville , Florida 32611 , United States.

Chemical Reviews
|May 30, 2018
PubMed
Summary
This summary is machine-generated.

Atomistic molecular simulations accelerate the design and evaluation of amorphous microporous polymers for carbon dioxide (CO2) capture. This review guides researchers in discovering advanced materials for CO2 separations.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Chemical Engineering

Background:

  • Amorphous microporous polymers are crucial for carbon dioxide (CO2) capture and separations.
  • Atomistic molecular simulations offer a powerful tool for designing and evaluating these materials.
  • Accelerating the discovery of efficient polymers is essential for addressing CO2 emissions.

Purpose of the Study:

  • To review advances in atomistic molecular simulations for designing and evaluating amorphous microporous polymers for CO2 capture.
  • To provide guidelines and an update on recent literature (since 2007) in the field.
  • To promote faster discovery and screening of suitable polymeric materials.

Main Methods:

  • Detailed description of atomistic molecular simulation techniques.
  • Explanation of structural generation approaches for polymers.
  • Discussion of relaxation, equilibration, and validation methodologies for simulated samples.

Main Results:

  • Highlights the utility of atomistic simulations in predicting polymer structure-property relationships relevant to CO2 capture.
  • Summarizes key simulation strategies for creating and assessing microporous polymer networks.
  • Identifies critical considerations for validating simulation outputs against experimental data.

Conclusions:

  • Atomistic molecular simulations are indispensable for the rational design of advanced amorphous microporous polymers.
  • This review provides a framework to enhance the efficiency of discovering and screening polymers for CO2 separation applications.
  • Further integration of simulation and experimental studies will drive innovation in carbon capture technologies.