{"title":"Nanocatalysts in photocatalytic and electrochemical hydrogen production","authors":"Monika Sindhu, Meenakshi Gusain, Arpan Tewary","doi":"10.1007/s10853-025-11546-6","DOIUrl":null,"url":null,"abstract":"<div><p>With the growth in energy demand around the globe, researchers have highly developed interest in producing environmentally friendly hydrogen by water splitting. This review discusses the electrocatalytic and photocatalytic nanocatalyst for water splitting process for obtaining clean hydrogen from water and renewable energy sources. Cutting-edge materials that possess outstanding performance as sunlight-driven catalysts have been featured here including semiconductor nanoparticles, hybrid composites, carbon-based materials, and plasmonic nanostructures and approaches such as framework doping, nanocomposite design, and defect engineering. The emerging hybrid architectures integrating photo- and electrocatalysis, photoelectrochemical (PEC) devices, and system integrations relevant to fuel cells and renewable-powered electrolysis have been mapped. Sustainability controls such as circular economy feedstocks, life cycle/techno-economic assessment, and policy needs are discussed. Finally, we outline machine learning, in situ characterization, and earth-abundant catalyst platforms as cross-cutting directions to bridge laboratory advances with durable, scalable, and commercially viable hydrogen production.</p></div>","PeriodicalId":645,"journal":{"name":"Journal of Materials Science","volume":"60 41","pages":"19514 - 19541"},"PeriodicalIF":3.9000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Science","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s10853-025-11546-6","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
With the growth in energy demand around the globe, researchers have highly developed interest in producing environmentally friendly hydrogen by water splitting. This review discusses the electrocatalytic and photocatalytic nanocatalyst for water splitting process for obtaining clean hydrogen from water and renewable energy sources. Cutting-edge materials that possess outstanding performance as sunlight-driven catalysts have been featured here including semiconductor nanoparticles, hybrid composites, carbon-based materials, and plasmonic nanostructures and approaches such as framework doping, nanocomposite design, and defect engineering. The emerging hybrid architectures integrating photo- and electrocatalysis, photoelectrochemical (PEC) devices, and system integrations relevant to fuel cells and renewable-powered electrolysis have been mapped. Sustainability controls such as circular economy feedstocks, life cycle/techno-economic assessment, and policy needs are discussed. Finally, we outline machine learning, in situ characterization, and earth-abundant catalyst platforms as cross-cutting directions to bridge laboratory advances with durable, scalable, and commercially viable hydrogen production.
期刊介绍:
The Journal of Materials Science publishes reviews, full-length papers, and short Communications recording original research results on, or techniques for studying the relationship between structure, properties, and uses of materials. The subjects are seen from international and interdisciplinary perspectives covering areas including metals, ceramics, glasses, polymers, electrical materials, composite materials, fibers, nanostructured materials, nanocomposites, and biological and biomedical materials. The Journal of Materials Science is now firmly established as the leading source of primary communication for scientists investigating the structure and properties of all engineering materials.