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Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution
To achieve net-zero emissions, a particular interest has been raised in the electrochemical evolution of H(2) by using catalysts. Considering the complexity of designing catalyst, we demonstrate a data-driven strategy to develop optimized catalysts for H(2) evolution. This work starts by collecting...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637634/ https://www.ncbi.nlm.nih.gov/pubmed/34901789 http://dx.doi.org/10.1016/j.isci.2021.103430 |
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author | Zheng, Anhui Wang, Yuxuan Zhang, Fangfei He, Chunnian Zhu, Shan Zhao, Naiqin |
author_facet | Zheng, Anhui Wang, Yuxuan Zhang, Fangfei He, Chunnian Zhu, Shan Zhao, Naiqin |
author_sort | Zheng, Anhui |
collection | PubMed |
description | To achieve net-zero emissions, a particular interest has been raised in the electrochemical evolution of H(2) by using catalysts. Considering the complexity of designing catalyst, we demonstrate a data-driven strategy to develop optimized catalysts for H(2) evolution. This work starts by collecting data of Pt/carbon catalysts, and applying machine learning to reveal the importance of ranking various features. The algorithms reveal that the Pt content and Pt size have the greatest impact on the catalyst overpotentials. Following the data-driven analysis, a space-confined method is used to fabricate the size-controllable Pt nanoclusters that anchor on nitrogen-doped (N-doped) mesoporous carbon nanosheet network. The obtained catalysts use less platinum and exhibit better catalytic activity than current commercial catalysts in alkaline electrolytes. Moreover, the data formed in this work can be used as feedback to further improve the data-driven model, thereby accelerating the development of high-performance catalysts. |
format | Online Article Text |
id | pubmed-8637634 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86376342021-12-09 Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution Zheng, Anhui Wang, Yuxuan Zhang, Fangfei He, Chunnian Zhu, Shan Zhao, Naiqin iScience Article To achieve net-zero emissions, a particular interest has been raised in the electrochemical evolution of H(2) by using catalysts. Considering the complexity of designing catalyst, we demonstrate a data-driven strategy to develop optimized catalysts for H(2) evolution. This work starts by collecting data of Pt/carbon catalysts, and applying machine learning to reveal the importance of ranking various features. The algorithms reveal that the Pt content and Pt size have the greatest impact on the catalyst overpotentials. Following the data-driven analysis, a space-confined method is used to fabricate the size-controllable Pt nanoclusters that anchor on nitrogen-doped (N-doped) mesoporous carbon nanosheet network. The obtained catalysts use less platinum and exhibit better catalytic activity than current commercial catalysts in alkaline electrolytes. Moreover, the data formed in this work can be used as feedback to further improve the data-driven model, thereby accelerating the development of high-performance catalysts. Elsevier 2021-11-13 /pmc/articles/PMC8637634/ /pubmed/34901789 http://dx.doi.org/10.1016/j.isci.2021.103430 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zheng, Anhui Wang, Yuxuan Zhang, Fangfei He, Chunnian Zhu, Shan Zhao, Naiqin Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution |
title | Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution |
title_full | Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution |
title_fullStr | Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution |
title_full_unstemmed | Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution |
title_short | Data-driven design and controllable synthesis of Pt/carbon electrocatalysts for H(2) evolution |
title_sort | data-driven design and controllable synthesis of pt/carbon electrocatalysts for h(2) evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637634/ https://www.ncbi.nlm.nih.gov/pubmed/34901789 http://dx.doi.org/10.1016/j.isci.2021.103430 |
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