Lithium Electrochemical Tuning for Electrocatalysis
Abstract
Abstract Electrocatalysis is of great importance to a variety of energy conversion processes, where developing highly efficient catalysts is critical. While common strategies involve screening a wide range of materials with new chemical compositions or structures, a different approach to continuously, controllably, and effectively tune the electronic properties of existing catalytic materials for optimized activities has been demonstrated recently. Inspired by studies in lithium‐ion batteries, systematical lithium electrochemical tuning (LiET) methods such as Li intercalation, extraction, cycling, and strain engineering, are employed to effectively tune the electronic structures of different existing catalysts and thus improve their catalytic activities dramatically. Herein, the advantages of the LiET method in electrocatalysis are introduced, and then some recent representative examples in improving the performances of important electrochemical reactions are reviewed briefly. Lastly, a few promising directions on extending the applications of the LiET method in electrocatalysis are proposed.
- Authors:
-
- Department of Material Science and Engineering Stanford University Stanford CA 94305 USA
- Rowland Institute Harvard University Cambridge MA 02142 USA
- Rowland Institute Harvard University Cambridge MA 02142 USA, Department of Chemical and Biomolecular Engineering Rice University Houston TX 77005 USA
- Department of Material Science and Engineering Stanford University Stanford CA 94305 USA, Stanford Institute for Materials and Energy Science SLAC National Accelerator Laboratory Menlo Park CA 94025 USA
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1469405
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Advanced Materials
- Additional Journal Information:
- Journal Name: Advanced Materials Journal Volume: 30 Journal Issue: 48; Journal ID: ISSN 0935-9648
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- Germany
- Language:
- English
Citation Formats
Lu, Zhiyi, Jiang, Kun, Chen, Guangxu, Wang, Haotian, and Cui, Yi. Lithium Electrochemical Tuning for Electrocatalysis. Germany: N. p., 2018.
Web. doi:10.1002/adma.201800978.
Lu, Zhiyi, Jiang, Kun, Chen, Guangxu, Wang, Haotian, & Cui, Yi. Lithium Electrochemical Tuning for Electrocatalysis. Germany. https://doi.org/10.1002/adma.201800978
Lu, Zhiyi, Jiang, Kun, Chen, Guangxu, Wang, Haotian, and Cui, Yi. Mon .
"Lithium Electrochemical Tuning for Electrocatalysis". Germany. https://doi.org/10.1002/adma.201800978.
@article{osti_1469405,
title = {Lithium Electrochemical Tuning for Electrocatalysis},
author = {Lu, Zhiyi and Jiang, Kun and Chen, Guangxu and Wang, Haotian and Cui, Yi},
abstractNote = {Abstract Electrocatalysis is of great importance to a variety of energy conversion processes, where developing highly efficient catalysts is critical. While common strategies involve screening a wide range of materials with new chemical compositions or structures, a different approach to continuously, controllably, and effectively tune the electronic properties of existing catalytic materials for optimized activities has been demonstrated recently. Inspired by studies in lithium‐ion batteries, systematical lithium electrochemical tuning (LiET) methods such as Li intercalation, extraction, cycling, and strain engineering, are employed to effectively tune the electronic structures of different existing catalysts and thus improve their catalytic activities dramatically. Herein, the advantages of the LiET method in electrocatalysis are introduced, and then some recent representative examples in improving the performances of important electrochemical reactions are reviewed briefly. Lastly, a few promising directions on extending the applications of the LiET method in electrocatalysis are proposed.},
doi = {10.1002/adma.201800978},
journal = {Advanced Materials},
number = 48,
volume = 30,
place = {Germany},
year = {Mon Sep 10 00:00:00 EDT 2018},
month = {Mon Sep 10 00:00:00 EDT 2018}
}
https://doi.org/10.1002/adma.201800978
Web of Science
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