Advances in in situ and operando TEM: From basic catalysis to industry-relevant reactions and future directions

In situ TEM is a powerful tool for studying catalysts in their working environments, providing atomic-scale insights into structural, morphological, and chemical evolution under reaction conditions. This review explores recent advancements in gas and liquid in situ and operando TEM techniques for catalysis research, highlighting their role in identifying active sites, degradation mechanisms, and catalyst-activation processes for reactions with industrial and environmental relevance. As the field progresses, in situ TEM is poised to drive innovations in catalyst design and performance optimization.

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Publication Details

Journal
Matter
Published
2025-07-01
DOI
https://doi.org/10.1016/j.matt.2025.102139
Citations
8
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
4.14
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article

Advances in in situ and operando TEM: From basic catalysis to industry-relevant reactions and future directions

Jordi Arbiol, Alba Garzón Manjón, David Llorens Rauret
8 citations
Matter
Machine Learning in Materials Science
4.14
article

Advances in in situ and operando TEM: From basic catalysis to industry-relevant reactions and future directions

Jordi Arbiol, Alba Garzón Manjón, David Llorens Rauret
article en
8 citations

Abstract

In situ TEM is a powerful tool for studying catalysts in their working environments, providing atomic-scale insights into structural, morphological, and chemical evolution under reaction conditions. This review explores recent advancements in gas and liquid in situ and operando TEM techniques for catalysis research, highlighting their role in identifying active sites, degradation mechanisms, and catalyst-activation processes for reactions with industrial and environmental relevance. As the field progresses, in situ TEM is poised to drive innovations in catalyst design and performance optimization.

MatterVol. 8(7)
Institució Catalana de Recerca i Estudis Avançats (ES), Institut Català de Nanociència i Nanotecnologia (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Machine Learning in Materials Science
4.14
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