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Related Concept Videos

Catalysis01:27

Catalysis

Catalysis influences the rate of chemical reactions by providing an alternative reaction pathway with lower activation energy. A catalyst speeds up a reaction, but it is not consumed during the process. The fundamental principle of catalysis is the ability of a catalyst to alter the reaction mechanism, often introducing a more efficient pathway than the uncatalyzed process.In a catalyzed reaction, the catalyst participates directly in the reaction mechanism. It interacts with reactants to form...
Catalysis02:50

Catalysis

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.
Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
Heterogeneous Catalysis01:22

Heterogeneous Catalysis

Heterogeneous catalysis involves a catalyst in a different phase from the reactants. It is a process where the catalyst and the reactants are in distinct phases, typically solid and gas or liquid.Most heterogeneous catalysts are metals, metal oxides, or acids. The list includes transition metals like iron (Fe), cobalt (Co), nickel (Ni), palladium (Pd), platinum (Pt), chromium (Cr), manganese (Mn), tungsten (W), silver (Ag), and copper (Cu). These metals possess partially vacant d orbitals that...
Control Systems01:10

Control Systems

Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
Introduction to Mechanisms of Enzyme Catalysis01:13

Introduction to Mechanisms of Enzyme Catalysis

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 a mild...

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Related Experiment Video

Updated: May 23, 2026

Preparation and 3D Tracking of Catalytic Swimming Devices
06:50

Preparation and 3D Tracking of Catalytic Swimming Devices

Published on: July 1, 2016

Intelligent catalysis: on-demand dynamic self-optimization via responsive feedback.

Linbo Jiang1, Shichun Mu1

  • 1State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China. msc@whut.edu.cn.

Chemical Society Reviews
|May 22, 2026
PubMed
Summary
This summary is machine-generated.

Intelligent catalysis addresses limitations in traditional systems by creating dynamic catalysts that self-optimize performance. These advanced catalysts adapt to changing conditions, enhancing efficiency and stability for sustainable development.

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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
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Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

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Last Updated: May 23, 2026

Preparation and 3D Tracking of Catalytic Swimming Devices
06:50

Preparation and 3D Tracking of Catalytic Swimming Devices

Published on: July 1, 2016

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics
10:52

Multiscale Sampling of a Heterogeneous Water/Metal Catalyst Interface using Density Functional Theory and Force-Field Molecular Dynamics

Published on: April 12, 2019

Area of Science:

  • Catalysis
  • Materials Science
  • Chemical Engineering

Background:

  • Traditional catalysis faces challenges like poisoning, leaching, and instability due to rigid structures and static operational windows.
  • These limitations hinder sustained high efficiency and durability under demanding, variable reaction conditions.

Purpose of the Study:

  • To establish the concept of intelligent catalysis and its necessity for overcoming conventional catalytic system limitations.
  • To classify existing intelligent catalysis based on self-optimized effects and outline future multimodal synergistic systems.

Main Methods:

  • Systematic review of intelligent catalysis mechanisms, design strategies, and applications.
  • Highlighting challenges and countermeasures in developing and implementing intelligent catalysts.

Main Results:

  • Intelligent catalysts integrate autonomous perception and feedback responses for dynamic self-optimization.
  • They exhibit real-time sensing of environmental changes and in situ responsive feedback processes like adaptive reconfiguration and self-regeneration.

Conclusions:

  • Intelligent catalysis offers a pathway to overcome the inherent drawbacks of conventional catalysts, enabling on-demand, application-specific functionality.
  • This review provides guidance for designing next-generation catalysts and fostering broader intelligent multi-scenario applications.