MétaCan
Menu
Back to cohort
Record W4205542226 · doi:10.1021/acsenergylett.1c02531

Evidence of Morphological Change in Sulfur Cathodes upon Irradiation by Synchrotron X-rays

2022· article· en· W4205542226 on OpenAlex
Matthew Li, Wenwen Liu, Dan Luo, Zhongwei Chen, Khalil Amine, Jun Lü

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueACS Energy Letters · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Battery Materials and Technologies
Canadian institutionsUniversity of Waterloo
FundersU.S. Department of Energy
KeywordsSynchrotronSynchrotron radiationX-ray absorption spectroscopySulfurIrradiationLithium (medication)Absorption (acoustics)CathodeMaterials scienceAnalytical Chemistry (journal)ChemistryAbsorption spectroscopyRadiochemistryOpticsPhysicsNuclear physicsMetallurgy

Abstract

fetched live from OpenAlex

While the development of lithium–sulfur battery cathodes has benefited substantially from the use of in situ and ex situ X-ray absorption studies, the degree of undesired influence from synchrotron radiation has not been studied. In this work, we present evidence of severe beam damage on sulfur cathodes under irradiation by synchrotron X-rays. Specifically, X-ray fluorescence mapping with relatively low dosage was conducted to observe the morphological changes after conducting X-ray absorption spectroscopy (XAS). Under open-circuit conditions, the morphology of the sulfur spontaneously changes and tends to migrate out of the region of XAS sampling. Our work indicates that effort should be placed in first obtaining a no-change/stable open-circuit baseline when attempting to conduct in operando studies of lithium–sulfur batteries using synchrotron radiation with an energy of <7.7 keV and a flux of >6 × 1012 photons s–1.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.228
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it