Bibliographic record
Abstract
Battery based energy storage is expected to play a vital enabling role in future energy supply and demand. In particular, it is likely that storage of electricity generated from major renewable energy sources (such as solar, wind, or wave power) will be an important component of future energy portfolios worldwide. In the realm of transportation, rechargeable batteries are already being used for hybrid and all-electric applications. However, for mass adaptation of battery technology, either for grid-storage or transportation applications, transformative changes in battery technology are required. Critical to the advancement of batteries (Li-ion or other beyond Li-ion solutions) is a fundamental and in depth understanding of the electronic and structural changes of the electrode materials during battery operation. Research at the APS using hard x-ray spectroscopy (energy in the range 2.5-55 KeV) focuses on x-ray absorption fine structure spectroscopy (XAFS), x-ray emission spectroscopy, x-ray Raman scattering and micro beam( mapping, micro-XAFS and micro-diffraction) applications of hard x-rays. Spectroscopy beamlines are designed primarily for energy variable applications. Using in situ core-shell spectroscopic methods we seek to capture the intricate details of the redox behavior (electronic structure) as well as the element specific local structure of these materials. Such studies provide unique insight to develop structure-property correlations that are important to predict long-term battery performance as well as help tailor new novel materials with high capacities, high power, and stable crystal structures. Work on Li-rich materials and Li-S systems, performed collaboratively with Argonne’s battery group and Prof. Nazar’s group (University of Waterloo, Canada) respectively, will be presented in this poster. The submitted abstract has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory (“Argonne”). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".