Comparing lithium‐ and sodium‐ion batteries for their applicability within energy storage systems
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
Abstract The use of nonaqueous, alkali metal‐ion batteries within energy storage systems presents considerable opportunities and obstacles. Lithium‐ion batteries (LIBs) are among the most developed and versatile electrochemical energy storage technologies currently available, but are often prohibitively expensive for large‐scale, stationary applications. As global demand for LIBs grows, dwindling supplies of cell component materials and their critical mineral precursors will likely increase future LIB costs. In this work, emerging sodium‐ion batteries (SIBs) constructed from relatively inexpensive and abundant materials are examined for their viability as LIB substitutes to meet large‐scale, stationary energy storage needs. Despite the relatively underdeveloped state of SIB technology, cell material costs and performance characteristics are rapidly approaching those of some commercially successful LIB types. Advances in sustainably sourced SIB electrode materials promise to further reduce cell prices. Technoeconomic attributes of SIBs appear poised to match or exceed those of certain commercialized LIBs for large‐scale, stationary energy storage purposes. This work examines a case for use of LIBs or SIBs for seasonal, household energy storage in Canada.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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