Hierarchical Self-assembly of Well-Defined Louver-Like P-Doped Carbon Nitride Nanowire Arrays with Highly Efficient Hydrogen Evolution.
Hierarchical Self-assembly of Well-Defined Louver-Like P-Doped Carbon Nitride Nanowire Arrays with Highly Efficient Hydrogen Evolution.
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具有高效析氢能力的明确百叶窗状磷掺杂碳氮化碳纳米线阵列的分层自组装
DOI:
10.1007/s40820-020-0399-1
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发表时间:
2020-02-17
影响因子:
26.6
通讯作者:
Huang GF
中科院分区:
文献类型:
--
作者:
Li B;Si Y;Fang Q;Shi Y;Huang WQ;Hu W;Pan A;Fan X;Huang GF
Self-assembled nanostructure arrays integrating the advantages of the intrinsic characters of nanostructure as well as the array stability are appealing in advanced materials. However, the precise bottom-up synthesis of nanostructure arrays without templates or substrates is quite challenging because of the general occurrence of homogeneous nucleation and the difficult manipulation of noncovalent interactions. Herein, we first report the precisely manipulated synthesis of well-defined louver-like P-doped carbon nitride nanowire arrays (L-PCN) via a supramolecular self-assembly method by regulating the noncovalent interactions through hydrogen bond. With this strategy, CN nanowires align in the outer frame with the separation and spatial location achieving ultrastability and outstanding photoelectricity properties. Significantly, this self-assembly L-PCN exhibits a superior visible light-driven hydrogen evolution activity of 1872.9 μmol h−1g−1, rendering a ~ 25.6-fold enhancement compared to bulk CN, and high photostability. Moreover, an apparent quantum efficiency of 6.93% is achieved for hydrogen evolution at 420 ± 15 nm. The experimental results and first-principles calculations demonstrate that the remarkable enhancement of photocatalytic activity of L-PCN can be attributed to the synergetic effect of structural topology and dopant. These findings suggest that we are able to design particular hierarchical nanostructures with desirable performance using hydrogen-bond engineering.
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影响因子:
3
作者:
Grimme, Stefan
通讯作者:
Grimme, Stefan
影响因子:
16.6
作者:
Kawasaki S;Takahashi R;Yamamoto T;Kobayashi M;Kumigashira H;Yoshinobu J;Komori F;Kudo A;Lippmaa M
通讯作者:
Lippmaa M
影响因子:
26.6
作者:
Bao Y;Chen K
通讯作者:
Chen K
影响因子:
19
作者:
Liang, Qinghua;Li, Zhi;Yang, Quan-Hong
通讯作者:
Yang, Quan-Hong
影响因子:
3.7
作者:
Kresse, G;Furthmuller, J
通讯作者:
Furthmuller, J