With its high theoretical capacity and low cost,FeF_(2)possesses a great potential for applications in nextgeneration lithium-ion batteries.However,its poor conductivity and dramatic volume change during the charge/di...With its high theoretical capacity and low cost,FeF_(2)possesses a great potential for applications in nextgeneration lithium-ion batteries.However,its poor conductivity and dramatic volume change during the charge/discharge process limit its practical application.To maximize available electrochemical performance,a novel porous reduced graphene oxide-FeF_(2)@carbon(rGO-FeF_(2)@C)composite that exhibits a high reversible capacity of 430 mA h g^(-1)and maintains 400 mA h g^(-1)even after 50 cycles at 0.08 A g^(-1)has been successfully synthesized by a dealloying method.展开更多
By integrating observational data with dynamic models,data assimilation(DA)refines background state estimates,producing more accurate analysis fields and improving predictive performance.As modern environmental and at...By integrating observational data with dynamic models,data assimilation(DA)refines background state estimates,producing more accurate analysis fields and improving predictive performance.As modern environmental and atmospheric models continue to increase in spatial resolution,the volume of observational data expands accordingly,resulting in substantially higher computational demands for DA.展开更多
基金supported by the National Natural Science Foundation of China(No.81927809 and 21777108)the Science and Technology Department of Sichuan Province(No.2018GZ0463 and 2019YFG0218).
文摘With its high theoretical capacity and low cost,FeF_(2)possesses a great potential for applications in nextgeneration lithium-ion batteries.However,its poor conductivity and dramatic volume change during the charge/discharge process limit its practical application.To maximize available electrochemical performance,a novel porous reduced graphene oxide-FeF_(2)@carbon(rGO-FeF_(2)@C)composite that exhibits a high reversible capacity of 430 mA h g^(-1)and maintains 400 mA h g^(-1)even after 50 cycles at 0.08 A g^(-1)has been successfully synthesized by a dealloying method.
文摘By integrating observational data with dynamic models,data assimilation(DA)refines background state estimates,producing more accurate analysis fields and improving predictive performance.As modern environmental and atmospheric models continue to increase in spatial resolution,the volume of observational data expands accordingly,resulting in substantially higher computational demands for DA.
