Facile synthesis of novel Si nanoparticles–graphene composites as high-performance anode materials for Li-ion batteries
文献情報
Min Zhou, Fan Pu, Zhao Wang, Tingwei Cai, Hao Chen, Haiyong Zhang, Shiyou Guan
Improving the Li storage properties of a Si negative electrode is of great significance for Li-ion batteries. A major challenge is to fabricate Si-based active materials with good electronic conduction and structural integrity in the process of discharging and charging. In this study, novel Si nanoparticles–graphene composites have been synthesized by hybrid electrostatic assembly between positively charged aminopropyltriethoxysilane modified Si nanoparticles and negatively charged graphene oxide, followed by thermal reduction. Commercially available Si nanoparticles are well embedded and uniformly dispersed into the graphene sheets, and the typically wrinkled graphene sheets form a network and cover the highly dispersed Si nanoparticles well. No any obvious aggregation of the Si nanoparticles can be found and many nanospaces exist around the Si nanoparticles, which provide buffering spaces needed for volume changes of Si nanoparticles during insertion/extraction of Li. High capacity and long cycle life (822 mA h g−1 after 100 cycles at a current density of 0.1 A g−1) have been realized in the novel Si nanoparticles–graphene composites for Li-ion batteries. The excellent electrochemical performance is ascribed to the uniform distribution of Si nanoparticles and graphene, which effectively prevents aggregation and pulverization of Si nanoparticles, keeps the overall electrode highly conductive, and maintains the stability of the structure.
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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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