We regret that our article “Cleavable bimetallic-organic polymers for ROS mediated cascaded cancer therapy under the guidance of MRI through tumor hypoxia relief strategy” (Sci China Chem, 2020, 63: 936–945) contained errors. In Figure 3b, the image of the “+Laser group” under “CLSM observation of ROS generation of 4T1 cells incubated with Fe/Mn-THPPTK-PEG” is incorrect. In Figure 3e, the image of the “Fe/Mn-THPPTK-PEG + Laser group” under “Fluorescence microscopic images of live/dead staining in 4T1 cells after different treatments” is also incorrect. The corrected Figure 3 and corresponding figure legend are provided below. Nevertheless, this correction does not affect the results and conclusion of the paper.
Room-temperature sodium-sulfur (RT Na-S) batteries promise low-cost, high-energy storage based on earth-abundant elements, yet their practical implementation is limited by uncontrolled polysulfide migration and electrolyte flooding. Herein, we introduce an electromagnetic-cage concept that fundamentally regulates polysulfide chemistry through the synergistic coupling of electromagnetic confinement and catalytic conversion. The electromagnetic cages are formed by integrating high-valence Co- and Fe-enriched Cox-FeS2 nanocatalysts into a three-dimensional porous carbon network. Co-induced electronic structure reconstruction shifts the d-band center toward the Fermi level, producing strong interfacial polarization that enhances polysulfide adsorption while simultaneously accelerating their redox conversion. This dual-function confinement-conversion mechanism effectively suppresses polysulfide shuttling and enables highly reversible sulfur electrochemistry. Consequently, the S@Cox-FeS2/C cathode delivers 1344.8 mAh g−1 at 0.1 C with 86
The rapid growth of solid-state electrolyte (SSE) literature has created increasing demand for structured databases linking compositions, crystal structures, ionic conductivities, testing conditions, and doping strategies. Such resources are essential for establishing reliable composition-structure-property (C-S-P) relationships and providing machine-readable inputs for predictive modeling and electrolyte design. However, the required information is highly heterogeneous and often dispersed across text, tables, and supplementary materials, making manual curation labor-intensive and difficult to scale up. Here, we present SSE-Bridge, an agentic workflow grounded in source documents for constructing traceable C-S-P Relationship Database and Doping Strategy Database from published studies. SSE-Bridge integrates extraction from selected pages, standardization of formulas and record formats, and model checks against source evidence to improve authenticity while maintaining high coverage. Compared with direct full-text extraction, SSE-Bridge increases the authenticity rate (Auth) from 67.4
