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Related Concept Videos

Molecular Weight of Step-Growth Polymers01:08

Molecular Weight of Step-Growth Polymers

Step growth polymerization involves bi or multifunctional monomers. Bifunctional monomers react to form linear step growth polymers, whereas multifunctional monomers react to form non-linear or branched polymers.
As the step-growth polymerization involves step-wise condensation of monomers, the molecular weight also builds up eventually. Consequently, high molecular weight polymers are obtained at the late stages of the polymerization, where 99% of monomers have been consumed.
The extent of the...

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Related Experiment Video

Updated: May 14, 2026

Polymer Microarrays for High Throughput Discovery of Biomaterials
13:37

Polymer Microarrays for High Throughput Discovery of Biomaterials

Published on: January 25, 2012

The high-throughput highway to computational materials design.

Stefano Curtarolo1, Gus L W Hart, Marco Buongiorno Nardelli

  • 1Department of Mechanical Engineering and Materials Science, Duke University, Durham, North Carolina 27708, USA. mail: stefano@duke.edu

Nature Materials
|February 21, 2013
PubMed
Summary
This summary is machine-generated.

High-throughput computational materials design accelerates the discovery of new materials. This field uses advanced computing and data analysis to manage vast datasets for materials innovation.

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Area of Science:

  • Materials Science
  • Computational Materials Design

Background:

  • High-throughput computational materials design is an emerging field.
  • It leverages advanced computational techniques and data management.

Purpose of the Study:

  • To provide a current overview of high-throughput computational materials design.
  • To highlight challenges and opportunities in the field.

Main Methods:

  • Combines thermodynamic and electronic-structure methods.
  • Utilizes intelligent data mining and database construction.
  • Exploits supercomputer architectures for data analysis.

Main Results:

  • Generates, manages, and analyzes enormous data repositories.
  • Facilitates the discovery of novel materials.

Conclusions:

  • The field is rapidly evolving.
  • Significant challenges and opportunities exist for future research and development.