Intimate Heterostructured Electrocatalyst for Functional Tandem Catalysts of Lithium Polysulfides in Separator‐Modified Lithium‐Sulfur Batteries
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Developing electrocatalysts to inhibit polysulfide shuttling and expedite sulfur species conversion is vital for the evolution of Lithium‐sulfur (Li‐S) batteries. This work provides a facile strategy to design an intimate heterostructure of MIL‐88A@CdS as a sulfur electrocatalyst combining high sulfur adsorption and accelerated polysulfide conversion. The MIL‐88A can give a region of high‐ordered polysulfide adsorption, whereas the CdS is an effective nanoreactor for the sulfur reduction reaction (SRR). Notedly, the significant size difference between MIL‐88A and CdS enables the unique heterostructure interactions. The large‐size MIL‐88A ensures a uniform distribution of CdS nanoparticles as a substrate. This configuration facilitates control of the initial polysulfide adsorption position relative to its final deposition site as lithium sulfide. The heterostructure also demonstrates rapid transport and efficient conversion of lithium polysulfides. Consequently, the Li‐S battery with MIL‐88A@CdS heterostructure modified separator delivers exceptional performance, achieving an areal capacity exceeding 6 mAh cm −2 , an excellent rate capability of 980 mAh g −1 at 5 C, and notable cycling stability in a 2 Ah pouch cell over 100 cycles. This work is significant for elucidating the relationship between heterostructure and electrocatalytic performance, providing great insights for material design aimed at highly efficient future electrocatalysts in practical applications.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it