The critical role of interfaces in advanced Li-ion battery technology: A comprehensive review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The passivation layer in lithium-ion batteries (LIBs), commonly known as the Solid Electrolyte Interphase (SEI) layer, is crucial for their functionality and longevity. This layer forms on the anode during initial charging to avoid ongoing electrolyte decomposition and stabilize the anode-electrolyte interface. However, repeated charging and discharging can destabilize the SEI, thereby increasing internal resistance and reducing capacity. Similarly, the Cathode Electrolyte Interphase (CEI) layer is crucial for the performance, safety, and durability of LIBs. The formation, stability, and evolution of the SEI and CEI layers are critical for the efficiency and lifespan of LIBs. Research has focused on optimizing these interphases through advanced materials , interface modifications, and improved electrolyte formulations. Enhancing our understanding of SEI and CEI formation and degradation can lead to significant advancements in LIB performance, lifespan, and safety, thereby satisfying the demands for high-performance power storage in electronic appliances and electric vehicles. Future innovations promise to improve energy density , charge-discharge efficiency, and overall battery reliability.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it