Superassembled Red Phosphorus Nanorod–Reduced Graphene Oxide Microflowers as High‐Performance Lithium‐Ion Battery Anodes
Why this work is in the frame
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Bibliographic record
Abstract
Lithium‐ion battery (LIB) anodes using red phosphorus materials are promising with the advantages of high capacity, low price, and abundant reserves. However, the huge volume expansion (≈300%) of red phosphorus during the charge and discharge process significantly limits their application. Herein, superassembled red phosphorus nanorod/reduced graphene oxide microflower (RPN/rGF) composites are reported. The RPNs can accommodate huge volume expansion, shorten lithium‐ion transmission distances, and provide more conductive contacts, and the rGF serves as an electron pathway and buffers the RPN volume expansion. Experimental and finite element simulations prove the fixation of PC bonds in the RPN/rGF composite, thereby demonstrating a high capacity (1760 mA h g −1 at 0.3 C), remarkable rate capability (1073 mA h g −1 at 3 C), and great cyclability (1380 mA h g −1 at 0.3 C over 300 cycle). This work could shed light on the future development of red phosphorus composite materials for commercially viable lithium‐ion batteries.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it