ConFlat cell for<i>operando</i>electrochemical X-ray studies of lithium-ion battery materials in commercially relevant conditions
Bibliographic record
Abstract
In situandoperandotechniques play an important role in modern battery materials research and development. As materials characterization and application requirements advance, so too must thein situ/operandotest methods and hardware. The effects of temperature, internal mechanical pressure and parasitic reactions due to, for example, cell sealing are critical for commercial scale-up but often overlooked inin situ/operandocell designs. An improved electrochemicaloperandocell for X-ray diffraction and spectroscopy using ConFlat-style flanges in combination with a beryllium window is presented. The cell is reusable and simple to fabricate and assemble, providing superior sealing, relevant and adjustable cell stack pressure, and reproducible charge/discharge cycling performance for short- and long-term experiments. Cell construction, electrochemical performance, and representativeoperandoX-ray powder diffraction measurements with carbon and aluminium electrodes at temperatures between 303 and 393 K are provided.Operandoelectrochemical cell testing at high temperatures allows access to temperature-sensitive phase transitions and opens the way for analysis and development of new lithium-based cathode, anode and electrolyte materials for lithium-ion batteries.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".