Atomic-scale visualization of single atom formation in metal–organic frameworks

Recently, non-noble metal single atoms (SAs) have emerged as a groundbreaking class of materials, offering enhanced efficiency, reduced metal consumption, and widespread applicability.

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d4ta07390h
Citations
3
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
1.55
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article

Atomic-scale visualization of single atom formation in metal–organic frameworks

Yu‐Lun Chueh, Yi‐Dong Lin, Yu‐Ru Lin, Kai‐Yuan Hsiao et al.
3 citations
Journal of Materials Chemistry A
Machine Learning in Materials Science
1.55
article

Atomic-scale visualization of single atom formation in metal–organic frameworks

Yu‐Lun Chueh, Yi‐Dong Lin, Yu‐Ru Lin, Kai‐Yuan Hsiao, Chun‐Hui Lin, Ming‐Yen Lu, Ruei‐Hong Cyu, Ching‐Wei Chin, Yan‐Gu Lin
article en
3 citations

Abstract

Recently, non-noble metal single atoms (SAs) have emerged as a groundbreaking class of materials, offering enhanced efficiency, reduced metal consumption, and widespread applicability.

Journal of Materials Chemistry AVol. 13(26)
National Sun Yat-sen University (TW), National Yang Ming Chiao Tung University (TW), Korea University (KR), National Tsing Hua University (TW), National Synchrotron Radiation Research Center (TW)
Openalex Percentile: Top 18%
Machine Learning in Materials Science
1.55
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