Intrinsic metal-support interactions break the activity-stability dilemma in electrocatalysis Article Swipe

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Ruitao Lv , Lingxi Zhou , Menghao Yang , Yihong Liu , Feiyu Kang ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.21203/rs.3.rs-5208867/v1

Electrocatalysis plays a central role in clean energy conversion and sustainable technologies. However, the trade-off between activity and stability of electrocatalysts significantly hinders their practical applications, notably in the oxygen evolution reaction (OER) for producing hydrogen and solar fuels. Here we report a steam-assisted synthesis armed with machine learning screening of an integrated ruthenium-titanium-manganese electrode, featuring intrinsic metal-support interactions. These atomic-scale interactions with self-healing capabilities radically address the activity-stability dilemma across all pH levels. Consequently, our electrode achieved high mass activities, 48.5, 112.8 and 74.6 times those of benchmark ruthenium oxides in acidic, neutral and alkaline conditions, respectively; and stable operation for up to 3,000 hours, a multi-fold improvement in stability over the reported advanced catalysts. The breakthrough in activity-stability limitations highlights the potential of intrinsic metal-support interactions for enhancing electrolysis and other heterogeneous catalysis.

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Dilemma Electrocatalyst Stability (learning theory) Chemistry Computer science Philosophy Physical chemistry Epistemology Electrode Machine learning Electrochemistry

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Type: preprint
Language: en
Landing Page: https://doi.org/10.21203/rs.3.rs-5208867/v1
PDF: https://www.researchsquare.com/article/rs-5208867/latest.pdf
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DOI: https://doi.org/10.21203/rs.3.rs-5208867/v1

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Title: Intrinsic metal-support interactions break the activity-stability dilemma in electrocatalysis

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-11-27

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Authors: Ruitao Lv, Lingxi Zhou, Menghao Yang, Yihong Liu, Feiyu Kang

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Landing page: https://doi.org/10.21203/rs.3.rs-5208867/v1

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Concepts: Dilemma, Electrocatalyst, Stability (learning theory), Chemistry, Computer science, Philosophy, Physical chemistry, Epistemology, Electrode, Machine learning, Electrochemistry

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