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Related Concept Videos

Polymers02:34

Polymers

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 properties that they exhibit. Additionally,...
Polymers: Defining Molecular Weight01:01

Polymers: Defining Molecular Weight

Unlike small molecules with definite molecular weights, polymers are a mixture of individual polymer chains of varying lengths, each with a unique molecular weight. So, the molecular weight of a polymer is expressed as an average value based on the average size of the polymer chains. The two most common forms of averages used for polymers are the number average molecular weight and weight average molecular weight.
The number average molecular weight (Mn) is the summation of the number...
Polymers: Molecular Weight Distribution01:10

Polymers: Molecular Weight Distribution

For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
Types of Step-Growth Polymers: Polyesters01:20

Types of Step-Growth Polymers: Polyesters

The introduction of polyesters has brought major development to the textile industry. The wrinkle-free behavior of polyester blends has eliminated the need for starching and ironing clothes.
Polyesters are commonly prepared from terephthalic acid and ethylene glycol; the crude product is known as poly(ethylene terephthalate) or PET. However, polyesters are synthesized industrially by transesterification of dimethyl terephthalate with ethylene glycol at 150 °C. The two reactants and the polymer...
Polymers02:34

Polymers

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 properties that they exhibit. Additionally,...
Classification and Mechanical Properties of Synthetic Polymers01:28

Classification and Mechanical Properties of Synthetic Polymers

Synthetic polymers are classified as elastomers, fibers, or plastics based on their crystallinity. Crystallinity, the degree of long-range order in the solid state, influences the mechanical properties (stretching or contracting) of elastomers. Elastomers are flexible polymers that can expand or contract easily upon the application of an external force. They have numerous crosslinks that pull them back into their original shape when stress is removed. Silicones, for instance, are highly elastic...

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Support Vector Machines in Polymer Science: A Review.

Ivan Malashin1, Vadim Tynchenko1, Andrei Gantimurov1

  • 1Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, 105005 Moscow, Russia.

Polymers
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

Support Vector Machines (SVM) are revolutionizing polymer science by enabling accurate predictions of material properties and process optimization. This review highlights SVM

Keywords:
polymer propertiespredictive analyticssupport vector machinessupport vector regression

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Area of Science:

  • Polymer Science
  • Materials Science
  • Computational Chemistry

Background:

  • Machine learning (ML) techniques are increasingly vital in polymer science.
  • Support Vector Machines (SVM) excel at handling complex, high-dimensional polymer data.

Purpose of the Study:

  • To review the diverse applications of SVM in polymer science.
  • To discuss the advantages and challenges of using SVM in this field.
  • To explore future opportunities for SVM in polymer research and manufacturing.

Main Methods:

  • Literature review of SVM applications in polymer synthesis, characterization, and property prediction.
  • Analysis of SVM's strengths in handling nonlinear relationships and large datasets.
  • Discussion of SVM's limitations, including computational demands and hyperparameter sensitivity.

Main Results:

  • SVM effectively predicts mechanical and thermal properties of polymers.
  • SVM optimizes polymerization processes and models degradation mechanisms.
  • SVM offers a powerful tool for advancing polymer research and development.

Conclusions:

  • SVM presents significant advantages for polymer science, despite challenges.
  • Future work should focus on polymer-specific SVM kernels and integration with manufacturing.
  • SVM adoption is crucial for innovation in macromolecular science.