Computational Simulation of Lithium Ion Transport through Polymer Nanocomposite Membranes
Bibliographic record
Abstract
Presented here are the macroscopic transport mechanisms of lithium ion in clay-polymer nanocomposites membranes with potential use in lithium rechargeable batteries. Computational simulations of the lithium ion transport across the interface of an anode and a cathode provide information to tailor single ion conductors and, thus to enhance ionic conductivity of the membrane. These transport simulation s demonstrate that the lithium concentration profile in the nanocomposite membranes decreases linearly as a function of time and position. This fi nding is surprising because the membranes are single ion conductor with transferences numbers approaching one. Thus, a deeper understanding is need ed of the transport properties in a real system, in order to be able to tailor materials with high conductivity and high transference num bers. It is shown that a battery cell with a thinner clay-polymer membrane can deliver a much higher capacity than that of a thicker membrane while the cell voltage remain almost unchanged and under 4 volts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".