Data‐Driven Additive Discovery with HOMO‐Descriptor Enables Durable Aqueous Zinc Batteries via Interfacial Kinetics Engineering

O|Zn pouch cell delivers stable cyclability for 70 days, with a capacity retention of 73% after 250 cycles. This work pioneers the integration of machine learning with interfacial electrochemistry, offering a generalizable approach for additive discovery and electrolyte design, and sets a new paradigm for achieving dendrite-free metallic anodes in aqueous systems.