MétaCan
Menu
Back to cohort
Record W4415923512 · doi:10.1038/s41467-025-64595-5

Membrane-free electrochemical production of acid and base solutions capable of processing ultramafic rocks

2025· article· en· W4415923512 on OpenAlexfundno aff
Benjamin P. Charnay, Yuxuan Chen, Jason Misleh, Gage Wright, Rishi G. Agarwal, Ethan R. Sauvé, Wei Lun Toh, Yogesh Surendranath, Matthew W. Kanan

Bibliographic record

VenueNature Communications · 2025
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsnot available
FundersBasic Energy SciencesDivision of Electrical, Communications and Cyber SystemsNatural Sciences and Engineering Research Council of CanadaChemical Sciences, Geosciences, and Biosciences DivisionCanadian Institute for Advanced ResearchStanford Woods Institute for the EnvironmentU.S. Department of EnergySchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsElectrochemistryRedoxOxidizing agentAlkalinityElectrodeReagentMineralization (soil science)Commodity chemicalsRenewable energy

Abstract

fetched live from OpenAlex

Electrochemical acid-base production has attractive applications in mineral recovery and CO2 removal, but current membrane-based designs are plagued by resistive losses. The authors report a membrane-less system generating useful acid and base solutions at high rates with less energy.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueNature CommunicationsSame topicCarbon Dioxide Capture TechnologiesFrench-language works237,207