MétaCan
Menu
Back to cohort
Record W4387664946 · doi:10.1021/acsenergylett.3c01668

Electrified Cement Production via Anion-Mediated Electrochemical Calcium Extraction

2023· article· en· W4387664946 on OpenAlex
Rui Kai Miao, Ning Wang, Sung‐Fu Hung, Wen‐Yang Huang, Jinqiang Zhang, Yong Zhao, Pengfei Ou, Sasa Wang, Jonathan P. Edwards, Cong Tian, Jingrui Han, Yi Xu, Mengyang Fan, Jianan Erick Huang, Yurou Celine Xiao, Alexander H. Ip, Hongyan Liang, Edward H. Sargent, David Sinton

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Energy Letters · 2023
Typearticle
Languageen
FieldMaterials Science
TopicAdvancements in Solid Oxide Fuel Cells
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Ontario
KeywordsRaw materialCementWaste managementPortland cementCombustionCarbon fibersEnvironmental scienceExtraction (chemistry)Pulp and paper industryMaterials scienceChemistryMetallurgyEngineering

Abstract

fetched live from OpenAlex

Cement production is a carbon-intensive industrial process, with the sector contributing ∼8% of global anthropogenic CO 2 emissions. On average, producing each kilogram of cement leads to the emission of 1 kg of CO 2 ─the combination of fuel combustion emissions and carbon released from the feedstock, limestone (CaCO 3 ). Here we report electrochemical cement production based on anion-mediated electrochemical calcium extraction (ECE) that addresses both feedstock and energy emissions. The in situ -generated acidic electrolytes release the feedstock CO 2 emissions at high purity, enabling direct carbon utilization or sequestration without costly capture and purification steps. Energy embodied within a separate H 2 output stream is sufficient to sinter Ca(OH) 2 to produce portland cement, thus removing the CO 2 emissions associated with fuel combustion. We then replace CaCO 3 with a carbon-free calcium feedstock, gypsum, thereby removing the CO 2 emissions embodied in the feedstock. Technoeconomic analysis forecasts that this method could provide a viable, decarbonized cement alternative.

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 score0.031
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.015
GPT teacher head0.263
Teacher spread0.249 · 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