Isothermal microcalorimetry as a tool to study solid–electrolyte interphase formation in lithium-ion cells
Bibliographic record
Abstract
Isothermal microcalorimetry can be used in conjunction with electrochemical measurements to study solid-electrolyte interphase (SEI) formation reactions as they occur in a Li-ion cell. The heat flow was measured in wound cells that contained no electrolyte additives and in cells prepared with four additives that are known to produce an SEI at the negative electrode surface: vinylene carbonate (VC), fluoroethylene carbonate (FEC), pyridine boron trifluoride (PBF), and prop-1-ene-1,3-sultone (PES). For VC, two distinct features in the differential capacity (dQ/dV vs. Q) plot that align with overlapping peaks in the heat flow plot do not agree with a simple one-electron reduction followed by anionic polymerization. For FEC, three distinct differential capacity and calorimetric peaks are observed. Heat flow measurements at multiple PBF concentrations show that PBF reduction does not significantly affect the reduction of EC at higher cell voltage. The total heat flow during SEI formation in PBF- and PES-containing cells match the calculated energies in recently published reaction pathways. It is concluded that IMC may be used to study the underlying chemistry of SEI formation, especially when paired with computational studies.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".