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Related Concept Videos

Catalysis02:50

Catalysis

29.9K
The presence of a catalyst affects the rate of a chemical reaction. A catalyst is a substance that can increase the reaction rate without being consumed during the process. A basic comprehension of a catalysts’ role during chemical reactions can be understood from the concept of reaction mechanisms and energy diagrams.
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Reduction of Benzene to Cyclohexane: Catalytic Hydrogenation01:28

Reduction of Benzene to Cyclohexane: Catalytic Hydrogenation

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Unlike the easy catalytic hydrogenation of an alkene double bond, hydrogenation of a benzene double bond under similar reaction conditions does not take place easily. For example, in the reduction of stilbene, the benzene ring remains unaffected while the alkene bond gets reduced. Hydrogenation of an alkene double bond is exothermic and a favorable process. In contrast, to hydrogenate the first unsaturated bond of benzene, an energy input is needed; that is, the process is endothermic. This is...
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Reduction of Alkynes to cis-Alkenes: Catalytic Hydrogenation02:24

Reduction of Alkynes to cis-Alkenes: Catalytic Hydrogenation

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Introduction
Like alkenes, alkynes can be reduced to alkanes in the presence of transition metal catalysts such as Pt, Pd, or Ni. The reaction involves two sequential syn additions of hydrogen via a cis-alkene intermediate.
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Carboxylic Acids to Methylesters: Alkylation using Diazomethane01:33

Carboxylic Acids to Methylesters: Alkylation using Diazomethane

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Carboxylic acids react with diazomethane in an ether solvent via alkylation at the carboxylate oxygen atom to give methyl esters of the corresponding acid with excellent yields.
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Newman Projections02:06

Newman Projections

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Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...
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Radical Anti-Markovnikov Addition to Alkenes: Thermodynamics01:32

Radical Anti-Markovnikov Addition to Alkenes: Thermodynamics

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The anti-Markovnikov addition of hydrogen halides to an alkene is thermodynamically feasible only with HBr. The radical addition reaction with other hydrogen halides like HCl and HI is thermodynamically unfavorable.
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Evaluation of Integrated Anaerobic Digestion and Hydrothermal Carbonization for Bioenergy Production
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Graph Theory Model of Dry Reforming of Methane Using Rh(111).

Eric A Walker1,2, Mohammad Moein Mohammadi1, Mark T Swihart1,3

  • 1Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, United States.

The Journal of Physical Chemistry Letters
|May 28, 2020
PubMed
Summary

Graph theory rapidly approximates adsorption energies for dry reforming of methane (DRM) on Rh(111). This method, using atomic descriptors, predicts energies for numerous intermediates, complementing DFT calculations.

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Area of Science:

  • Catalysis
  • Materials Science
  • Computational Chemistry

Background:

  • Dry reforming of methane (DRM) is crucial for converting greenhouse gases.
  • Understanding intermediate adsorption on catalysts like Rh(111) is key to optimizing DRM.
  • Density Functional Theory (DFT) calculations are computationally expensive for complex reaction networks.

Purpose of the Study:

  • To approximate adsorption energies of DRM intermediates on Rh(111) using graph theory.
  • To develop a rapid and interpretable method for predicting adsorption energies.
  • To supplement DFT calculations for a broader analysis of the DRM reaction system.

Main Methods:

  • Utilized graph theory to create descriptors for DRM intermediates.
  • Descriptors encode elemental identities, and neighbor/next-nearest neighbor information.
  • Combined graph theory predictions with a subset of DFT-calculated adsorption energies.

Main Results:

  • Graph theory provided rapid approximations of adsorption energies.
  • Descriptors proved human and machine interpretable.
  • Successfully predicted adsorption energies for a significant number of adsorbates.

Conclusions:

  • Graph theory is a viable and efficient approach for modeling complex catalytic reactions like DRM.
  • This method can accelerate the discovery and optimization of catalysts.
  • The approach offers a scalable alternative to traditional computational methods for large systems.