ArticleNature nanotechnology2026
Interfacial polarity modulation of positive electrode active materials for high-potential lithium metal batteries.
Article in Nature nanotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
10 authors.
Funding
Abstract
A central challenge in battery electrochemistry is achieving stable electro-chemo-mechanical interphases at the electrode|electrolyte interfaces across a wide range of operating conditions. Despite advances in electrolyte solution engineering aimed at optimizing interphase chemistry, the fundamental understanding of the interfacial environment remains limited, preventing rational designs and molecular-level manipulation of the interface. Here we introduce a molecular engineering strategy that uses dipolar self-assembled monolayers (SAMs) on the positive electrode active material to modulate interfacial stability. By tuning the electronic structure of the SAM terminal group, we establish interfacial polarity as a descriptor governing interactions between electrodes and the liquid electrolyte solution. Via in situ nanoscale depth-sensitive surface-enhanced infrared absorption spectroscopy, we directly probe the Coulombic interactions between SAMs and liquid electrolyte's molecular components, revealing how SAM terminal groups modulate electrolyte solution behaviour, offering a scientific basis for rational battery electrode interface molecular engineering. We also show that SAM-modified positive electrodes tested in Li metal coin cells with a glyme-based non-aqueous electrolyte solution enable improved cycling stability compared with their unmodified analogues, retaining 80% of their initial specific discharge capacity after 200 cycles at 0.15 mA cm
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42026138What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.