Structural Inheritance Synthesis of Multidimensional Germanium Nanostructures and Their Structure‐Performance Correlations in Lithium Storage

The unique properties and structural merits of multidimensional germanium (Ge) nanostructures have enabled their broad applications in energy storage, biomedical engineering, and sensor technologies. Nevertheless, the current synthesis strategies for Ge nanostructures are highly reliant on size‐specific control methods, while achieving controllable fabrication of multidimensional nanostructures under a unified scale range constraint remains a critical challenge. Herein, we present a precisely controlled galvanic replacement reaction strategy for the structural inheritance synthesis of multidimensional Ge nanostructures, establishing clear structure‐performance relationships for enhanced lithium storage. A remarkable rate capability is achieved in engineered Ge nanostructures, showing specific capacities of 24.2, 15.2, and 9.0 times that of bulk Ge at 10 A g −1 for NWs, NPs, and NSs, respectively. Particularly, the NWs exhibited superior cycling stability, maintaining a reversible capacity as high as 1,132 mAh g −1 after 200 cycles at 1 A g −1 . The exceptional electrochemical enhancement originates from effective interfacial stress mitigation during lithium alloying/dealloying processes and optimized charge–transfer kinetics enabled by nanostructural engineering, as systematically verified through electrochemical kinetic analyses. This work proposes a universal synthesis method for multidimensional alloy‐type anode materials, reveals the structure‐performance correlations, and offers valuable insights for the design of high‐performance energy storage materials.