Hierarchical three-dimensional branched hematite nanorod arrays with enhanced mid-visible light absorption for high-efficiency photoelectrochemical water splitting
文献类型:期刊论文
作者 | Wang, DG; Chang, GL; Zhang, YY; Chao, J; Yang, JZ; Su, S; Wang, LH; Fan, CH; Wang, LH |
刊名 | NANOSCALE
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出版日期 | 2016 |
卷号 | 8期号:25页码:12697-12701 |
ISSN号 | 2040-3364 |
通讯作者 | Su, S ; Wang, LH (reprint author), Nanjing Univ Posts & Telecommun, Natl Syngerst Innovat Ctr Adv Mat SICAM, Key Lab Organ Elect & Informat Displays KLOELD, Inst Adv Mat IAM, 9 Wenyuan Rd, Nanjing 210023, Jiangsu, Peoples R China. |
英文摘要 | Herein, we presented hierarchical three-dimensional (3D) branched hematite nanorod arrays (NAs) on transparent fluorine-doped tin oxide (FTO) conductive glass substrates, which exhibited high PEC water splitting performance due to the enhancement of midvisible light harvesting as well as charge separation and transfer. The introduction of a TiO2 underlayer made the as-prepared 3D branched hematite NAs achieve a photocurrent density of 0.61 mA cm(-2) at 1.23 V vs. reversible hydrogen electrode (RHE) without high-temperature activation. |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000378722100029 |
源URL | [http://ir.sinap.ac.cn/handle/331007/26525] ![]() |
专题 | 上海应用物理研究所_中科院上海应用物理研究所2011-2017年 |
推荐引用方式 GB/T 7714 | Wang, DG,Chang, GL,Zhang, YY,et al. Hierarchical three-dimensional branched hematite nanorod arrays with enhanced mid-visible light absorption for high-efficiency photoelectrochemical water splitting[J]. NANOSCALE,2016,8(25):12697-12701. |
APA | Wang, DG.,Chang, GL.,Zhang, YY.,Chao, J.,Yang, JZ.,...&Wang, LH.(2016).Hierarchical three-dimensional branched hematite nanorod arrays with enhanced mid-visible light absorption for high-efficiency photoelectrochemical water splitting.NANOSCALE,8(25),12697-12701. |
MLA | Wang, DG,et al."Hierarchical three-dimensional branched hematite nanorod arrays with enhanced mid-visible light absorption for high-efficiency photoelectrochemical water splitting".NANOSCALE 8.25(2016):12697-12701. |
入库方式: OAI收割
来源:上海应用物理研究所
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