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Related Concept Videos

Catalysis02:50

Catalysis

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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 Alkenes: Asymmetric Catalytic Hydrogenation02:17

Reduction of Alkenes: Asymmetric Catalytic Hydrogenation

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Catalytic hydrogenation of alkenes is a transition-metal catalyzed reduction of the double bond using molecular hydrogen to give alkanes. The mode of hydrogen addition follows syn stereochemistry.
The metal catalyst used can be either heterogeneous or homogeneous. When hydrogenation of an alkene generates a chiral center, a pair of enantiomeric products is expected to form. However, an enantiomeric excess of one of the products can be facilitated using an enantioselective reaction or an...
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Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

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For many years, scientists thought that enzyme-substrate binding took place in a simple "lock-and-key" fashion. This model stated that the enzyme and substrate fit together perfectly in one instantaneous step. However, current research supports a more refined view scientists call induced fit. The induced-fit model expands upon the lock-and-key model by describing a more dynamic interaction between enzyme and substrate. As the enzyme and substrate come together, their interaction causes...
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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.
7.7K
Reduction of Alkenes: Catalytic Hydrogenation02:13

Reduction of Alkenes: Catalytic Hydrogenation

11.9K
Alkenes undergo reduction by the addition of molecular hydrogen to give alkanes. Because the process generally occurs in the presence of a transition-metal catalyst, the reaction is called catalytic hydrogenation.
Metals like palladium, platinum, and nickel are commonly used in their solid forms — fine powder on an inert surface. As these catalysts remain insoluble in the reaction mixture, they are referred to as heterogeneous catalysts.
The hydrogenation process takes place on the...
11.9K
Properties of Organometallic Compounds01:23

Properties of Organometallic Compounds

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Organometallic compounds are compounds that contain a carbon–metal bond. Carbon belongs to an organyl group like alkyl, aryl, allyl, or benzyl groups. The metal can be from Group I or Group II of the periodic table, a transition metal, or a semimetal.
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AI Approaches to Homogeneous Catalysis with Transition Metal Complexes.

Lucía Morán-González1,2, Arron L Burnage1, Ainara Nova1,2

  • 1Hylleraas Centre for Quantum Molecular Sciences, Department of Chemistry, University of Oslo, P.O. Box 1033, Blindern, 0315 Oslo, Norway.

ACS Catalysis
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Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing homogeneous catalysis research. AI tools now enable inverse design of novel catalysts and AI-driven automated workflows, advancing transition metal catalysis.

Keywords:
Artificial IntelligenceCatalyst DesignCatalyst DiscoveryCatalyst OptimizationHomogeneous CatalysisMachine LearningReaction MechanismTransition Metal Complexes

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Area of Science:

  • Chemistry
  • Catalysis
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly integrated into chemical research.
  • The application of AI in homogeneous catalysis, particularly with transition metals, has seen exponential growth over the last 15 years.
  • Establishing guidelines is crucial for this emerging interdisciplinary field.

Purpose of the Study:

  • To provide a critical overview of current AI applications in homogeneous metal-catalyzed reactions.
  • To highlight the evolution of AI tools and their impact on catalysis research.
  • To identify future opportunities and challenges in this domain.

Main Methods:

  • Review of selected studies applying AI to homogeneous metal-catalyzed reactions.
  • Analysis of AI components: datasets, representations, algorithms, and experimental/computational facilities.
  • Examination of AI's progression from reaction mechanism prediction to inverse catalyst design.

Main Results:

  • AI models have advanced from predicting reaction mechanisms to optimizing conditions and yields using experimental data.
  • Generative AI and deep learning facilitate the inverse design of novel catalysts with specific properties.
  • Recent advancements enable AI-driven automated workflows through improved experimental data acquisition.

Conclusions:

  • AI is a powerful strategy transforming homogeneous catalysis research.
  • The capabilities of AI in catalysis are intrinsically linked to the quality of data, algorithms, and infrastructure.
  • The field is rapidly evolving, with significant potential for future innovations in catalyst discovery and optimization.