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High-throughput, combinatorial synthesis of multimetallic nanoclusters

Multimetallic nanoclusters (MMNCs) offer unique and tailorable surface chemistries that hold great potential for numerous catalytic applications. The efficient exploration of this vast chemical space necessitates an accelerated discovery pipeline that supersedes traditional “trial-and-error” experim...

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Autores principales: Yao, Yonggang, Huang, Zhennan, Li, Tangyuan, Wang, Hang, Liu, Yifan, Stein, Helge S., Mao, Yimin, Gao, Jinlong, Jiao, Miaolun, Dong, Qi, Dai, Jiaqi, Xie, Pengfei, Xie, Hua, Lacey, Steven D., Takeuchi, Ichiro, Gregoire, John M., Jiang, Rongzhong, Wang, Chao, Taylor, Andre D., Shahbazian-Yassar, Reza, Hu, Liangbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104385/
https://www.ncbi.nlm.nih.gov/pubmed/32156723
http://dx.doi.org/10.1073/pnas.1903721117
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author Yao, Yonggang
Huang, Zhennan
Li, Tangyuan
Wang, Hang
Liu, Yifan
Stein, Helge S.
Mao, Yimin
Gao, Jinlong
Jiao, Miaolun
Dong, Qi
Dai, Jiaqi
Xie, Pengfei
Xie, Hua
Lacey, Steven D.
Takeuchi, Ichiro
Gregoire, John M.
Jiang, Rongzhong
Wang, Chao
Taylor, Andre D.
Shahbazian-Yassar, Reza
Hu, Liangbing
author_facet Yao, Yonggang
Huang, Zhennan
Li, Tangyuan
Wang, Hang
Liu, Yifan
Stein, Helge S.
Mao, Yimin
Gao, Jinlong
Jiao, Miaolun
Dong, Qi
Dai, Jiaqi
Xie, Pengfei
Xie, Hua
Lacey, Steven D.
Takeuchi, Ichiro
Gregoire, John M.
Jiang, Rongzhong
Wang, Chao
Taylor, Andre D.
Shahbazian-Yassar, Reza
Hu, Liangbing
author_sort Yao, Yonggang
collection PubMed
description Multimetallic nanoclusters (MMNCs) offer unique and tailorable surface chemistries that hold great potential for numerous catalytic applications. The efficient exploration of this vast chemical space necessitates an accelerated discovery pipeline that supersedes traditional “trial-and-error” experimentation while guaranteeing uniform microstructures despite compositional complexity. Herein, we report the high-throughput synthesis of an extensive series of ultrafine and homogeneous alloy MMNCs, achieved by 1) a flexible compositional design by formulation in the precursor solution phase and 2) the ultrafast synthesis of alloy MMNCs using thermal shock heating (i.e., ∼1,650 K, ∼500 ms). This approach is remarkably facile and easily accessible compared to conventional vapor-phase deposition, and the particle size and structural uniformity enable comparative studies across compositionally different MMNCs. Rapid electrochemical screening is demonstrated by using a scanning droplet cell, enabling us to discover two promising electrocatalysts, which we subsequently validated using a rotating disk setup. This demonstrated high-throughput material discovery pipeline presents a paradigm for facile and accelerated exploration of MMNCs for a broad range of applications.
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spelling pubmed-71043852020-04-02 High-throughput, combinatorial synthesis of multimetallic nanoclusters Yao, Yonggang Huang, Zhennan Li, Tangyuan Wang, Hang Liu, Yifan Stein, Helge S. Mao, Yimin Gao, Jinlong Jiao, Miaolun Dong, Qi Dai, Jiaqi Xie, Pengfei Xie, Hua Lacey, Steven D. Takeuchi, Ichiro Gregoire, John M. Jiang, Rongzhong Wang, Chao Taylor, Andre D. Shahbazian-Yassar, Reza Hu, Liangbing Proc Natl Acad Sci U S A Physical Sciences Multimetallic nanoclusters (MMNCs) offer unique and tailorable surface chemistries that hold great potential for numerous catalytic applications. The efficient exploration of this vast chemical space necessitates an accelerated discovery pipeline that supersedes traditional “trial-and-error” experimentation while guaranteeing uniform microstructures despite compositional complexity. Herein, we report the high-throughput synthesis of an extensive series of ultrafine and homogeneous alloy MMNCs, achieved by 1) a flexible compositional design by formulation in the precursor solution phase and 2) the ultrafast synthesis of alloy MMNCs using thermal shock heating (i.e., ∼1,650 K, ∼500 ms). This approach is remarkably facile and easily accessible compared to conventional vapor-phase deposition, and the particle size and structural uniformity enable comparative studies across compositionally different MMNCs. Rapid electrochemical screening is demonstrated by using a scanning droplet cell, enabling us to discover two promising electrocatalysts, which we subsequently validated using a rotating disk setup. This demonstrated high-throughput material discovery pipeline presents a paradigm for facile and accelerated exploration of MMNCs for a broad range of applications. National Academy of Sciences 2020-03-24 2020-03-10 /pmc/articles/PMC7104385/ /pubmed/32156723 http://dx.doi.org/10.1073/pnas.1903721117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Yao, Yonggang
Huang, Zhennan
Li, Tangyuan
Wang, Hang
Liu, Yifan
Stein, Helge S.
Mao, Yimin
Gao, Jinlong
Jiao, Miaolun
Dong, Qi
Dai, Jiaqi
Xie, Pengfei
Xie, Hua
Lacey, Steven D.
Takeuchi, Ichiro
Gregoire, John M.
Jiang, Rongzhong
Wang, Chao
Taylor, Andre D.
Shahbazian-Yassar, Reza
Hu, Liangbing
High-throughput, combinatorial synthesis of multimetallic nanoclusters
title High-throughput, combinatorial synthesis of multimetallic nanoclusters
title_full High-throughput, combinatorial synthesis of multimetallic nanoclusters
title_fullStr High-throughput, combinatorial synthesis of multimetallic nanoclusters
title_full_unstemmed High-throughput, combinatorial synthesis of multimetallic nanoclusters
title_short High-throughput, combinatorial synthesis of multimetallic nanoclusters
title_sort high-throughput, combinatorial synthesis of multimetallic nanoclusters
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7104385/
https://www.ncbi.nlm.nih.gov/pubmed/32156723
http://dx.doi.org/10.1073/pnas.1903721117
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