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Related Concept Videos

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.
Ruthenium-based Grubbs catalyst is the most commonly used catalyst for olefin metathesis polymerization. Grubbs catalyst consists of a...
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Benzene to Phenol via Cumene: Hock Process01:27

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The synthesis of phenol from benzene via cumene and cumene hydroperoxide is called the Hock process. First, a Friedel–Crafts alkylation reaction of benzene with propene gives cumene. Then cumene forms cumene hydroperoxide via a radical chain reaction. In the chain initiation step, the benzylic hydrogen is abstracted to give a benzylic radical. In the chain propagation step, the benzylic radical reacts with an oxygen diradical to form a cumene hydroperoxide radical. The cumene...
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Nomenclature of Aromatic Compounds with Multiple Substituents01:11

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When more than one substituent is present on the benzene ring, the IUPAC nomenclature depends on the number of substituents present.
For disubstituted benzene derivatives, with two groups attached to the benzene ring, three constitutional isomers are possible. For example, consider dimethyl benzene, often called xylene, where the second methyl group can be substituted at the second, third, or fourth carbon. The relative position of the substituents is represented by prefixes ortho, meta, or...
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Chemical Symbols01:09

Chemical Symbols

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A chemical symbol is an abbreviation that is used to indicate an element or an atom of an element. For example, the symbol for mercury is Hg. We use the same symbol to indicate one atom of mercury (microscopic domain) or to label a container of many atoms of the element mercury (macroscopic domain).
Some symbols are derived from the common name of the element; others are abbreviations of the name in another language. Most symbols have one or two letters, but three-letter symbols have been used...
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Olefin Metathesis Polymerization: Acyclic Diene Metathesis (ADMET)00:53

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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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Molecular Compounds: Formulas and Nomenclature03:10

Molecular Compounds: Formulas and Nomenclature

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Molecular compounds or covalent compounds result when atoms share electrons to form covalent bonds. Since there is no electron transfer, molecular compounds do not contain ions; instead, they consist of discrete, neutral molecules. 
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Updated: Jan 3, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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Representing Multiword Chemical Terms through Phrase-Level Preprocessing and Word Embedding.

Liyuan Huang1, Chen Ling1

  • 1Toyota Research Institute of North America, 1555 Woodridge Avenue, Ann Arbor, Michigan 48105, United States.

ACS Omega
|November 19, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method for accurately identifying and representing multiword chemical terms in scientific literature. This approach enhances data-driven studies by improving the use of chemical patents and papers.

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Area of Science:

  • Chemoinformatics
  • Material Informatics
  • Natural Language Processing

Background:

  • Data-driven methods and AI are crucial in chemoinformatics and material informatics.
  • High-quality, large datasets are essential for these AI applications.
  • Chemical literature is an underutilized resource due to challenges in processing multiword terms.

Purpose of the Study:

  • To develop a chemistry-domain-specific approach for identifying and representing multiword chemical terms.
  • To improve the accuracy and robustness of chemical term representation from literature.
  • To enable better utilization of chemical literature for data-driven studies.

Main Methods:

  • A novel approach to identify multiword chemical terms at the phrase level.
  • Training word representations specifically for chemical phrases.
  • Experimental validation on a large corpus of chemical patents (119,166).

Main Results:

  • The proposed method accurately identifies multiword chemical terms from chemical patents.
  • The approach is more robust and precise in preserving the semantic meaning of chemical phrases compared to conventional methods.
  • Demonstrated effectiveness in handling the complexities of chemical language.

Conclusions:

  • Accurate representation of chemical terms is a critical first step for downstream NLP tasks.
  • The developed method facilitates the use of vast chemical literature for data-driven research.
  • Paves the way for enhanced AI applications in chemistry and material science.