Literature DB >> 34676920

Extreme Environmental Thermal Shock Induced Dislocation-Rich Pt Nanoparticles Boosting Hydrogen Evolution Reaction.

Siliang Liu1, Yi Shen2, Yang Zhang3, Baihua Cui4,5, Shibo Xi6, Jinfeng Zhang1, Lianyong Xu3, Shuze Zhu2, Yanan Chen1, Yida Deng1,7, Wenbin Hu1,5.   

Abstract

Crystal structure engineering of nanomaterials is crucial for the design of electrocatalysts. Inducing dislocations is an efficient approach to generate strain effects in nanomaterials to optimize the crystal and electronic structures and improve the catalytic properties. However, it is almost impossible to produce and retain dislocations in commercial mainstream catalysts, such as single metal platinum (Pt) catalysts. In this work, a non-equilibrium high-temperature (>1400 K) thermal-shock method is reported to induce rich dislocations in Pt nanocrystals (Dr-Pt). The method is performed in an extreme environment (≈77 K) created by liquid nitrogen. The dislocations induced within milliseconds by thermal and structural stress during the crystallization process are kinetically frozen at an ultrafast cooling rate. The high-energy surface structures with dislocation-induced strain effects can prevent surface restructuring during catalysis. The findings indicate that a novel extreme environmental high-temperature thermal-shock method can successfully introduce rich dislocations in Pt nanoparticles and significantly boost its hydrogen evolution reaction performance.
© 2021 Wiley-VCH GmbH.

Entities:  

Keywords:  dislocations; environmental thermal shock; hydrogen evolution reaction (HER); single metal nanoparticles; strain

Year:  2021        PMID: 34676920     DOI: 10.1002/adma.202106973

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  3 in total

Review 1.  Rational Design of Better Hydrogen Evolution Electrocatalysts for Water Splitting: A Review.

Authors:  Fan Liu; Chengxiang Shi; Xiaolei Guo; Zexing He; Lun Pan; Zhen-Feng Huang; Xiangwen Zhang; Ji-Jun Zou
Journal:  Adv Sci (Weinh)       Date:  2022-04-18       Impact factor: 17.521

Review 2.  Inverse Design of Materials by Machine Learning.

Authors:  Jia Wang; Yingxue Wang; Yanan Chen
Journal:  Materials (Basel)       Date:  2022-02-28       Impact factor: 3.623

3.  An electrochemical modification strategy to fabricate NiFeCuPt polymetallic carbon matrices on nickel foam as stable electrocatalysts for water splitting.

Authors:  Ziqi Zhang; Yiduo Li; Zhe Zhang; He Zheng; Yuxin Liu; Yuxing Yan; Chunguang Li; Haiyan Lu; Zhan Shi; Shouhua Feng
Journal:  Chem Sci       Date:  2022-07-05       Impact factor: 9.969

  3 in total

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