Swollen Ammoniated MoS<sub>2</sub> with 1T/2H Hybrid Phases for High-Rate Electrochemical Energy Storage
Bibliographic record
Abstract
Because of its lamellar structure similar to that of graphite, molybdenum disulfide has been widely explored as a lithium-ion battery and supercapacitor electrode material, but its energy storage ability is strongly hindered by the poor electrical/ionic conductivity and transfer among the intrinsic lamellar structures. Herein we propose a novel swollen ammoniated MoS 2 with 1T/2H hybrid phases (MoS 2 -A), which possesses a high concentration of 1T phase and unique expanded lamellar structures, as a supercapacitor electrode material. The obtained MoS 2 -A reveals superior charge-storage performance with distinct pseudocapacitive behavior, including surface redox reaction and diffusive intercalation, and even when the scan speed is increased 100-fold from 1 to 100 mV s –1, the retention ratio of the specific capacitance can still reach 58.5%, demonstrating a superhigh rate capability. Moreover, this supercapacitor electrode also exhibits good cycling stability with a retention ratio of 95.4% after 2000 cycles. The outstanding electrochemical performance of MoS 2 -A should be ascribed to the existence of the metallic 1T phase, which favors high electrical conductivity, and the swollen lamellar structures possessing an enlarged interlayer space of 0.99 nm created by in situ intercalated species, facilitating the fast and reversible diffusive intercalation of electrolyte ions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".