According to foreign media reports, the research teams of the University of Houston and Texas A&M University have jointly developed a new type of materials and innovative energy storage modeling methods. They demonstrated a new structure of supercapacitor electrodes made of reduced graphene oxide and aramid nanofibers. This breakthrough development may lead to lightweight materials suitable for energy technology.
With the increasing popularity of mobile electronic devices and the extensive use of technologies such as electric vehicles and drones, society has created a huge demand for lightweight materials that can provide sufficient operating power. This new electrode has proven to be stronger and more versatile than standard carbon-based electrodes.
The key to the material's behavior and performance is the porosity, tortuosity, and effective diffusivity. The researchers also found that, compared with the traditional simulation technology porous media model, the use of material nanostructure modeling can improve the accuracy of the performance study of ion diffusion in the composite electrode.
Improving the accuracy of the modeling method helps to find more effective new nanostructured materials, providing longer life and higher energy density for the battery, while also being lighter. Researcher Haleh Ardebili said: "We believe that these models based on nanostructures of materials are more comprehensive, detailed, rich and accurate than porous media models."
Reduced graphene oxide and aramid nanofiber materials have good electrochemical and mechanical properties. Supercapacitor electrodes are usually made of porous carbon-based materials, which can provide efficient electrode performance. Although reduced graphene oxide is mainly composed of carbon, aramid nanofibers provide mechanical strength, improve the versatility of the electrode, and make its application range more extensive.
Although traditional porous media models are convenient, they cannot provide sufficient accuracy to design new nanostructured materials, and to evaluate these electrode materials and other energy storage devices. Porous media models tend to assume the same pore size within the material, rather than measuring materials of different sizes and their geometric properties. The team found that the model based on the nanostructure of the material helps to more accurately understand the ion diffusion and other properties in the composite electrode. (Elisha)
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