{"title":"燃料电池中的碳支持设计策略","authors":"Donglai Li, Haibo Jin* and Zipeng Zhao*, ","doi":"10.1021/acs.chemmater.4c0163210.1021/acs.chemmater.4c01632","DOIUrl":null,"url":null,"abstract":"<p >Proton exchange membrane fuel cell (PEMFC) as a zero-emission power source attracts broad interest. Carbon supports, where catalytic nanoparticles are loaded, are pivotal in optimizing the performance of a PEMFC. In this perspective, we highlight an emerging trend for carbon support design and optimization. First, we summarized the carbon support preparation and modification methods: surface engineering, carbon nanocomposite engineering, and pore engineering. Then we discussed the newly developed characterization and analysis techniques, like three-dimensional electron microscopy, and distribution of relaxation times, which can be employed to obtain the precise structure information and in situ performance evaluation, which can be used as input data set to train the machine learning model. With the aid of the trained machine learning model, the optimization process of structure design and the preparation strategies for carbon support materials can be greatly accelerated as a result. Furthermore, the present challenges associated with the structure and performance analysis were pointed out.</p>","PeriodicalId":33,"journal":{"name":"Chemistry of Materials","volume":"36 19","pages":"9126–9138 9126–9138"},"PeriodicalIF":7.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strategies for Carbon Support Design in Fuel Cells\",\"authors\":\"Donglai Li, Haibo Jin* and Zipeng Zhao*, \",\"doi\":\"10.1021/acs.chemmater.4c0163210.1021/acs.chemmater.4c01632\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Proton exchange membrane fuel cell (PEMFC) as a zero-emission power source attracts broad interest. Carbon supports, where catalytic nanoparticles are loaded, are pivotal in optimizing the performance of a PEMFC. In this perspective, we highlight an emerging trend for carbon support design and optimization. First, we summarized the carbon support preparation and modification methods: surface engineering, carbon nanocomposite engineering, and pore engineering. Then we discussed the newly developed characterization and analysis techniques, like three-dimensional electron microscopy, and distribution of relaxation times, which can be employed to obtain the precise structure information and in situ performance evaluation, which can be used as input data set to train the machine learning model. With the aid of the trained machine learning model, the optimization process of structure design and the preparation strategies for carbon support materials can be greatly accelerated as a result. Furthermore, the present challenges associated with the structure and performance analysis were pointed out.</p>\",\"PeriodicalId\":33,\"journal\":{\"name\":\"Chemistry of Materials\",\"volume\":\"36 19\",\"pages\":\"9126–9138 9126–9138\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemistry of Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.chemmater.4c01632\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry of Materials","FirstCategoryId":"88","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.chemmater.4c01632","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Strategies for Carbon Support Design in Fuel Cells
Proton exchange membrane fuel cell (PEMFC) as a zero-emission power source attracts broad interest. Carbon supports, where catalytic nanoparticles are loaded, are pivotal in optimizing the performance of a PEMFC. In this perspective, we highlight an emerging trend for carbon support design and optimization. First, we summarized the carbon support preparation and modification methods: surface engineering, carbon nanocomposite engineering, and pore engineering. Then we discussed the newly developed characterization and analysis techniques, like three-dimensional electron microscopy, and distribution of relaxation times, which can be employed to obtain the precise structure information and in situ performance evaluation, which can be used as input data set to train the machine learning model. With the aid of the trained machine learning model, the optimization process of structure design and the preparation strategies for carbon support materials can be greatly accelerated as a result. Furthermore, the present challenges associated with the structure and performance analysis were pointed out.
期刊介绍:
The journal Chemistry of Materials focuses on publishing original research at the intersection of materials science and chemistry. The studies published in the journal involve chemistry as a prominent component and explore topics such as the design, synthesis, characterization, processing, understanding, and application of functional or potentially functional materials. The journal covers various areas of interest, including inorganic and organic solid-state chemistry, nanomaterials, biomaterials, thin films and polymers, and composite/hybrid materials. The journal particularly seeks papers that highlight the creation or development of innovative materials with novel optical, electrical, magnetic, catalytic, or mechanical properties. It is essential that manuscripts on these topics have a primary focus on the chemistry of materials and represent a significant advancement compared to prior research. Before external reviews are sought, submitted manuscripts undergo a review process by a minimum of two editors to ensure their appropriateness for the journal and the presence of sufficient evidence of a significant advance that will be of broad interest to the materials chemistry community.