Improving water splitting performance of Cu2O through a synergistic “two-way transfer” process of Cu and graphene
Literature Information
Dingkun Zhang, Ding Wei, Zhentao Cui, Shanshan Wang, Song Yang, Minhua Cao, Changwen Hu
H2 evolution catalysis has drawn great consideration and effective separation and delivery of the photoelectrons are particularly crucial during the whole process. In this paper, we fabricate porous Cu–Cu2O–graphene nanocomposites via a simple reflux synthesis route, which possess porous structure and excellent catalytic performance for water splitting. With Cu species being added into Cu2O–graphene, the resultant catalyst exhibits improved activity for H2 evolution reaction as compared to Cu2O, Cu–Cu2O and Cu2O–graphene, indicating excellent catalytic performance and potential practical use. We attribute this performance to the synergistic effect of Cu component and graphene, which features: (i) a broader range of light absorption; (ii) faster electron transfer; and (iii) lower recombination possibility of photogenerated electrons and holes. We believe that the Cu species and graphene both contribute greatly to this catalysis process, in which Cu can cooperate with graphene support to extract electrons and pass them to the Pt cocatalyst to form a “two-way transfer” process. It is also believed that this strategy can be extended to other catalysts based on Cu–Cu2O–graphene composites.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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