Bibliographic record
Abstract
The electrospun nanofiber membrane had excellent performance when used as separator of Li-ion battery.Its applications were limited due to the low cohesive force between single nanofibers and the low strength of the electrospun membrane. The PAN-PVDF electrospun membrane was prepared by blended electrospinning with thermostable phase PAN and low melting temperature phase PVDF. PVDF was melted partially to form point bonding after proper thermal calendering process and its relevant properties were measured. The results show that the strength of the modified membrane is almost 10 times higher than that of as-spun electrospun membrane. The improvements in electrochemical properties of the electrospun samples were also observed in this study such as,(1)ionic conductivity at room temperature was 1.32×10-3 S/cm;(2) electrochemical stability potential was 5.24 V;(3)interface impedance between the membrane andthe electrodes was 45 Ω; and(4) the initial discharge capacity was152 m Ah/g under 0.2 C ratio. Therefore, the comprehensive properties of the modified membrane were superior to that of CELGARD 2400.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".