"Evidence for multi-Li⁺ clustering in lithium-ion battery electrolytes"- Logical Review & Gap Analysis

An independent, AI-assisted logical review of the Nature article "Evidence for multi-Li⁺ clustering in lithium-ion battery electrolytes" (doi:10.1038/s41586-026-11138-7), written in Vietnamese. It uses the Section Zero framework and is checked only against the article, its Supplementary Information and the Peer Review File. The report summarizes the paper's reasoning chain and separates the limitations the authors acknowledge and the questions raised by referees from seven additional logical gaps. Those gaps concern the cluster-formation mechanism, the frozen-sample NMR design, ¹³C spectral discriminability, uncertainty of the cluster fractions, the role of EC, high-concentration benchmarks, and the resolution of the 0.8 V reduction-potential match. Each claim is then given a graded reliability level. This is not a peer review and not a replication. The reviewer is not a specialist in the field, and numbers should be verified by experts before use. Keywords logical review; gap analysis; Section Zero; lithium-ion battery electrolyte; multi-Li⁺ clusters; ethylene carbonate; machine-learning force field; molecular dynamics; solid-state NMR; solid electrolyte interphase (SEI); reduction potential; scientific methodology