Carbon Nanotubes Chemically Modified by Metal Phthalocyanines with Excellent Electrocatalytic Activity to Li/SOCl<sub>2</sub>Battery
Bibliographic record
Abstract
Carbon nanotubes (CNTs)-templated metal phthalocyanines (MPc) (M = Mn(II), Fe(II), Co(II), Ni(II), Cu(II), Zn(II)) assemblies (CNTs-CONH-MPc) were synthesized and characterized by IR, XRD, SEM, XPS. The lithium-thionyl chloride (Li/SOCl 2 ) cells using CNTs-CONH-MPc as catalysts showed excellent performance, which the capacities increased by 15.44–88.49%, and the initial voltages improved to 3.09–3.22 V. The sequence of the electrochemical catalytic performance of CNTs-CONH-MPc was ranked by central metal ion: Co > Ni > Mn > Fe > Cu > Zn. Based on cyclic voltammetry measurements, the reasonable mechanism is proposed and the role of catalyst is verified. The modified CNTs by MPc greatly promoted the electronic transmission, which significantly improved the performance and the initial voltage of Li/SOCl 2 battery.
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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".