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Related Concept Videos

Polymer Classification: Architecture01:14

Polymer Classification: Architecture

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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: Stereospecificity01:26

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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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Characteristics and Nomenclature of Copolymers01:24

Characteristics and Nomenclature of Copolymers

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Copolymers are the products obtained from the polymerization of multiple monomer species. So, in a polymer chain itself, there can be multiple repeating units that come from different monomers. The process of synthesizing a polymer from different monomer species is called copolymerization. When two monomers are involved, the polymer is known as a bipolymer. Polymers with three and four monomers are termed terpolymers and quaterpolymers, respectively. Figure 1 depicts the copolymerization of...
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Polymer Classification: Crystallinity01:21

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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...
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Olefin Metathesis Polymerization: Overview01:13

Olefin Metathesis Polymerization: Overview

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Recently, the development of olefin metathesis polymerization advanced the field of polymer synthesis. Simply put, the reorganization of substituents on their double bonds between two olefins in the presence of a catalyst is known as the olefin metathesis reaction. The use of metathesis reaction for polymer synthesis is called olefin metathesis polymerization.
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Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)

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Acyclic diene metathesis polymerization or ADMET polymerization involves cross-metathesis of terminal dienes, such as 1,8-nonadiene, to give linear unsaturated polymer and ethylene. As ADMET is a reversible process, the formed ethylene gas must be removed from the reaction mixture to complete the polymerization process.
Similar to cross-metathesis, ADMET also involves the formation of metallacyclobutane intermediate by [2+2] cycloaddition of one of the double bonds of a terminal diene with...
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Related Experiment Video

Updated: Nov 13, 2025

MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups
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MALDI-ToF MS Method for the Characterization of Synthetic Polymers with Varying Dispersity and End Groups

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ChemProps: A RESTful API enabled database for composite polymer name standardization.

Bingyin Hu1, Anqi Lin1, L Catherine Brinson2

  • 1Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, 27708, USA.

Journal of Cheminformatics
|March 13, 2021
PubMed
Summary
This summary is machine-generated.

ChemProps unifies polymer indexing by mapping chemical names to identifiers, overcoming data inconsistencies. This approach enhances materials informatics and polymer science innovation through an easy-to-update, API-enabled system.

Keywords:
APIDatabaseMaterials InformaticsNanoMineOptimizationPolymersSMILES

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Area of Science:

  • Polymer Science
  • Materials Informatics
  • Computational Chemistry

Background:

  • Inconsistent polymer nomenclature hinders data resource utilization and materials informatics applications.
  • Existing chemical identifiers are insufficient and not user-friendly for polymer research.
  • Standardized polymer indexing is crucial for advancing polymer science and materials innovation.

Purpose of the Study:

  • To develop a robust methodology for accurate polymer indexing, addressing nomenclature inconsistencies.
  • To create an easily updatable system for polymer name-to-identifier mapping.
  • To facilitate data integration and enhance search functionalities in polymer databases.

Main Methods:

  • A multi-algorithm mapping methodology, ChemProps, was developed.
  • A RESTful API was implemented for seamless data exchange.
  • Algorithm weights were optimized using a scoring system and ten-fold cross-validation.

Main Results:

  • The ChemProps methodology achieved 100% test accuracy on 54 data points.
  • The system demonstrated effective name-to-SMILES translation capabilities.
  • The optimized weight factors ensure high accuracy in polymer indexing.

Conclusions:

  • ChemProps provides a standardized solution for polymer indexing, improving data accessibility.
  • The system enables duplicate entry removal and enhances 'search by SMILES' functionality.
  • ChemProps facilitates auto-population of polymer properties, supporting materials informatics advancements.