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Record W4412617947 · doi:10.1016/s1003-6326(25)66824-5

Efficient direct regeneration of spent LiFePO4 by low-temperature sintering

2025· article· en· W4412617947 on OpenAlex

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

VenueTransactions of Nonferrous Metals Society of China · 2025
Typearticle
Languageen
FieldEngineering
TopicExtraction and Separation Processes
Canadian institutionsMinistry of Education and Child Care
FundersNatural Science Foundation for Distinguished Young Scholars of Hunan ProvinceNational Natural Science Foundation of China
KeywordsSinteringRegeneration (biology)Materials scienceChemical engineeringMetallurgyEngineeringCell biologyBiology

Abstract

fetched live from OpenAlex

The morphology, crystal structure, and electrochemical performance of spent LiFePO 4 (S-LFP) are recovered by one-step low-temperature solid phase sintering. After sintering at 550 °C for 3 h, the secondary particle size distribution of regenerated LiFePO 4 (R-LFP) becomes narrower, and the D 50 is reduced from 5.6 to 2.3 μm. In addition, the content of Li−Fe antisite defect is reduced from 5.73% to 1.20%, and the F is doped to O(2) site in the structure of R-LFP. Moreover, a coating layer comprising carbon and LiF is formed on the surface of R-LFP because of the decomposition of PVDF. Therefore, the R-LFP demonstrates exceptional Li + diffusion dynamics and conductivity, which delivers a high discharge capacity of 157.3 mA·h/g at 0.1 C . And it maintains 92% of its initial capacity after 500 cycles at 1 C .

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 score0.292
Threshold uncertainty score0.623

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 head0.007
GPT teacher head0.241
Teacher spread0.233 · 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