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Record W2985621086 · doi:10.1016/j.coche.2019.07.003

Understanding and mitigating performance decline in electrochemical deionization

2019· article· en· W2985621086 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Opinion in Chemical Engineering · 2019
Typearticle
Languageen
FieldEngineering
TopicMembrane-based Ion Separation Techniques
Canadian institutionsnot available
FundersM.S.I. Foundation
KeywordsCapacitive deionizationDesalinationFoulingMaterials scienceElectrochemistryElectrodeCorrosionDegradation (telecommunications)Environmental scienceChemical engineeringChemistryMetallurgyComputer scienceMembraneEngineering

Abstract

fetched live from OpenAlex

Capacitive deionization based on carbonaceous electrodes represents an energy-efficient technology suitable for low-salinity brackish water desalination where high recovery rates are critical to economic viability. Substituting insertion compounds for carbonaceous materials in electrochemical desalination electrodes enables higher ion adsorption capacities, excellent energy efficiency in higher salinity feedwaters, and selective removal of target ions. Despite the promise of electrochemical desalination processes, the durability of the electrode materials when treating complex waters is a documented issue that has not been systematically investigated. The present work reviews recent work on the impact of fouling on the performance of carbonaceous and insertion-based electrochemical desalination processes; discusses key factors controlling the corrosion/degradation of carbonaceous and insertion-based electrodes used in electrochemical desalination; and identifies potential strategies for improving the fouling tolerance and minimizing the corrosion or degradation of carbonaceous and insertion based electrodes.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.750

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 head0.043
GPT teacher head0.271
Teacher spread0.228 · 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