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Catalysis

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.

Heterogeneous Catalysis

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...

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Related Experiment Video

Updated: May 7, 2026

Synthesis and Catalytic Performance of Gold Intercalated in the Walls of Mesoporous Silica

Synthesis and Catalytic Performance of Gold Intercalated in the Walls of Mesoporous Silica

Published on: July 9, 2015

Advances in simulating dilute alloy nanoparticles for catalysis.

John N El Berch¹, Maya Salem¹, Giannis Mpourmpakis^1,2

¹Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA. gmpourmp@pitt.edu.

|December 9, 2024

Summary

This summary is machine-generated.

Dilute alloy (DA) catalysts, including single-atom alloys (SAAs), offer efficient precious metal use in catalysis. Advances in computational chemistry and AI are driving new simulation methods for DA and SAA applications.

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Area of Science:

Catalysis
Materials Science
Computational Chemistry

Background:

Dilute alloy (DA) catalysts, including single-atom alloys (SAAs), utilize trace amounts of promoter metals on host metals for enhanced activity and selectivity.
Applications of SAAs and DAs are expanding beyond traditional reactions to complex catalytic processes.
Mechanistic insights from computational chemistry, accelerated by AI, are crucial for understanding and advancing these catalysts.

Purpose of the Study:

To review novel advances in simulating single-atom alloys (SAAs) and dilute alloys (DAs) for catalysis.
To highlight the impact of reaction conditions, promoter ensembles, and morphology on catalyst performance.
To offer perspectives on future directions in SAA and DA simulations.

Main Methods:

Review of computational chemistry techniques, including *ab initio* calculations and multiscale modeling.
Discussion of machine learning applications in simulating SAAs and DAs.
Analysis of factors influencing catalyst stability and performance.

Main Results:

Novel simulation advances provide deeper mechanistic insights into SAAs and DAs.
Reaction conditions, promoter arrangements, and nanoparticle shape significantly affect catalyst stability and performance.
AI is poised to accelerate the development of SAA and DA simulations.

Conclusions:

Computational simulations are key to advancing dilute alloy and single-atom alloy catalyst design.
Understanding the interplay of various factors is essential for optimizing catalytic performance.
Future research directions include extending simulation methods to other well-defined active site systems.