Design Principles in Engineering of Multigrain Nanocatalysts via Multiscale Electronic Structure Characterization

Engineering grain boundary (GB) strain provides a promising pathway to tune the catalytic properties of nanocrystals. However, structural heterogeneity from random grain orientation and geometry has limited clear structure–property correlations. Here, we utilize a multigrain Co3O4/Mn3O4 core/shell nanocrystal platform as a model system to systematically investigate how geometric misfit strain at GBs serves as catalytically active sites for the oxygen reduction reaction. Through precise subnanometer-level control over grain morphology and by integrating multiscale electronic structure characterization, we identify the electronic structural signature of GB defects and establish a direct correlation between localized strain fields and modified electronic states. Strain modulation at GBs alters the eg orbital energy levels, with elongation along the z-axis combined with shear strain stabilizing the eg states, in contrast to the destabilization observed under pure shear strain. This stabilization mechanism enhances the electrocatalytic activity and selectivity of strained GBs compared with strain-relaxed grain surfaces. Furthermore, we reveal that GBs exhibit a radial strain gradient, producing a spatial energy shift that further modulates local electronic structures, as resolved through the classification of electron energy loss spectroscopy data. Together, these findings demonstrate that geometric misfit strain enables precise tuning of grain geometry and the resulting electronic structures, offering a robust strategy for engineering next-generation nanocatalysts.

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Publication Details

Journal
Chemistry of Materials
Published
2025-09-25
DOI
https://doi.org/10.1021/acs.chemmater.5c01154
Primary Topic
Electrocatalysts for Energy Conversion
Type
article
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article

Design Principles in Engineering of Multigrain Nanocatalysts via Multiscale Electronic Structure Characterization

Colin Ophus, A. Paul Alivisatos, Mary Scott, Min Gee Cho et al.
Chemistry of Materials
Electrocatalysts for Energy Conversion
article

Design Principles in Engineering of Multigrain Nanocatalysts via Multiscale Electronic Structure Characterization

Colin Ophus, A. Paul Alivisatos, Mary Scott, Min Gee Cho, Taeghwan Hyeon, Dong Young Chung, Myoung Hwan Oh, Kisuk Kang, Yung‐Eun Sung, Jaehyun Kim, Jeong Hyun Kim, Jung-Hoon Lee, Inchul Park
article en

Abstract

Engineering grain boundary (GB) strain provides a promising pathway to tune the catalytic properties of nanocrystals. However, structural heterogeneity from random grain orientation and geometry has limited clear structure–property correlations. Here, we utilize a multigrain Co3O4/Mn3O4 core/shell nanocrystal platform as a model system to systematically investigate how geometric misfit strain at GBs serves as catalytically active sites for the oxygen reduction reaction. Through precise subnanometer-level control over grain morphology and by integrating multiscale electronic structure characterization, we identify the electronic structural signature of GB defects and establish a direct correlation between localized strain fields and modified electronic states. Strain modulation at GBs alters the eg orbital energy levels, with elongation along the z-axis combined with shear strain stabilizing the eg states, in contrast to the destabilization observed under pure shear strain. This stabilization mechanism enhances the electrocatalytic activity and selectivity of strained GBs compared with strain-relaxed grain surfaces. Furthermore, we reveal that GBs exhibit a radial strain gradient, producing a spatial energy shift that further modulates local electronic structures, as resolved through the classification of electron energy loss spectroscopy data. Together, these findings demonstrate that geometric misfit strain enables precise tuning of grain geometry and the resulting electronic structures, offering a robust strategy for engineering next-generation nanocatalysts.

Chemistry of MaterialsVol. 37(19)
Seoul National University (KR), Lawrence Berkeley National Laboratory (US), Korea Advanced Institute of Science and Technology (KR), University of California System (US), University of Chicago (US), BioNano Genomics (United States) (US), Institute for Basic Science (KR), Kavli Energy NanoScience Institute (US), Korea Institute of Energy Research (KR), Institute for Nuclear Science and Technology (VN), Beijing Computational Science Research Center (CN), Hanyang University (KR), Korea Institute of Science and Technology (KR), University of California, Berkeley (US), Stanford University (US)
Openalex Percentile: Top 83%
Electrocatalysts for Energy Conversion
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