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Ziegler–Natta Chain-Growth Polymerization: Overview01:17

Ziegler–Natta Chain-Growth Polymerization: Overview

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Ziegler–Natta polymerization is another form of addition or chain‐growth polymerization used for synthesizing linear polymers over branched polymers. The catalyst used for polymerization is the Ziegler–Natta catalyst, named after Karl Ziegler and Giulio Natta, who developed it in 1953. This catalyst is an organometallic complex of titanium tetrachloride and triethyl aluminum, with the active form of the catalyst being an alkyl titanium compound. Using the Ziegler–Natta...
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Structural Isomerism02:34

Structural Isomerism

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Isomerism in Complexes
Isomers are different chemical species that have the same chemical formula. Structural isomerism of coordination compounds can be divided into two subcategories, the linkage isomers and coordination-sphere isomers.
Linkage isomers occur when the coordination compound contains a ligand that can bind to the transition metal center through two different atoms. For example, the CN− ligand can bind through the carbon atom or through the nitrogen atom. Similarly, SCN− can...
22.3K
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
515
Isomerism02:43

Isomerism

25.0K
Isomers are molecules with the same molecular formula but different structural arrangements. Isomers can be further classified into constitutional isomers and stereoisomers. Constitutional isomers differ in the connectivity of their constituent atoms. For example, 2-butanol and diethyl ether are constitutional isomers, as they have the same chemical formula, C4H10O, but differ in the connectivity of the carbon and oxygen atoms. Constitutional isomers have different physical and chemical...
25.0K
Radical Chain-Growth Polymerization: Overview01:10

Radical Chain-Growth Polymerization: Overview

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Chain-growth or addition polymerization is successive addition reactions of monomers with a polymer chain. In radical chain-growth polymerization, the reaction proceeds via a free-radical intermediate. The free radical is formed from radical initiators, which spontaneously generate free radicals by homolytic fission. Organic peroxides (such as dibenzoyl peroxide, as shown in Figure 1) or azo compounds are popular radical initiators. A low concentration ratio of radical initiator to monomer is...
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Isomerism in Alkenes02:01

Isomerism in Alkenes

15.9K
Alkenes like 1-butene and 2-butene exhibit constitutional isomerism, as they differ in the position of the double bond. Further, 2-butene exhibits stereoisomerism and exists as two distinct compounds differing in spatial arrangement.
An isomer is called cis-2-butene when the methyl groups are on the same side of the double bond, and the other stereoisomer, in which methyl groups are on the opposite side of the double bond, is called trans-2-butene. The cis and trans stereoisomers are not...
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Updated: Mar 12, 2026

Curation of Computational Chemical Libraries Demonstrated with Alpha-Amino Acids
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Faster Algorithms for Isomer Network Generation.

Dheivya Thiagarajan1, Dinesh P Mehta1

  • 1Department of Electrical Engineering and Computer Science, Colorado School of Mines , Golden, Colorado 80401, United States.

Journal of Chemical Information and Modeling
|November 2, 2016
PubMed
Summary
This summary is machine-generated.

Computational methods for isomer networks, crucial for drug design, are optimized. New techniques leverage molecular symmetry to significantly reduce computation time and memory requirements for analyzing large molecular datasets.

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Area of Science:

  • Computational chemistry
  • Cheminformatics
  • Medicinal chemistry

Background:

  • Isomer networks are essential for understanding relationships between organic molecules.
  • Extracting these networks is computationally expensive, requiring significant time and data storage.
  • Current methods face scalability challenges with large isomer sets.

Purpose of the Study:

  • To improve the efficiency of isomer network extraction.
  • To reduce the computational runtime and memory footprint of network generation.
  • To enhance the applicability of isomer networks in drug discovery.

Main Methods:

  • Utilizing molecular symmetry to optimize network extraction algorithms.
  • Streamlining algorithms for detecting duplicate molecular identifiers (dnNames).
  • Developing a more memory- and time-efficient computational approach.

Main Results:

  • Achieved up to 60% reduction in memory usage.
  • Improved computational runtime by a factor of up to 100.
  • Demonstrated significant performance gains for large isomer datasets.

Conclusions:

  • The developed techniques substantially enhance the feasibility of generating isomer networks.
  • Optimized isomer network extraction accelerates applications in medicinal chemistry and drug design.
  • Symmetry exploitation is a key strategy for efficient molecular network analysis.