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Record W4407355564 · doi:10.1021/acscentsci.4c01733

Scaling Organic Electrosynthesis: The Crucial Interplay between Mechanism and Mass Transport

2025· article· en· W4407355564 on OpenAlexaff
Zachary J. Oliver, Dylan J. Abrams, Luana Cardinale, Chih‐Jung Chen, Gregory L. Beutner, Seb Caille, Benjamin Cohen, Lin Deng, Moiz Diwan, Michael O. Frederick, Kaid C. Harper, Joel M. Hawkins, Dan Lehnherr, Christine Lucky, Alex M. Meyer, Seonmyeong Noh, Diego Núñez, Kyle W. Quasdorf, Jaykumar Vishwanath Teli, Shannon S. Stahl, Marcel Schreier

Bibliographic record

VenueACS Central Science · 2025
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsProcess Research Ortech (Canada)
FundersDirectorate for Technology, Innovation and PartnershipsOffice of the Vice Chancellor for Research and Graduate Education, University of Wisconsin-MadisonWisconsin Alumni Research FoundationDivision of Graduate EducationDavid and Lucile Packard Foundation
KeywordsElectrosynthesisMechanism (biology)ScalingMass transportNanotechnologyChemistryChemical physicsBiochemical engineeringMaterials sciencePhysicsElectrochemistryEngineeringPhysical chemistryElectrode

Abstract

fetched live from OpenAlex

Organic electrosynthesis opens new avenues of reactivity and promises more sustainable practices in the preparation of fine chemicals and pharmaceuticals. The full value of this approach will be realized by taking these processes to the production scale; however, achieving this goal will require a better understanding of the influence of mass transport on reaction behavior and the interactions between reactive species and electrodes inherent to organic electrosynthesis. The limited options for cell geometries used on small scale limit elucidation of these features. Here, we show how advanced cell geometries allow us to control the interplay between reaction mechanism and mass transport, leading to improved performance of three modern organic electrosynthetic reactions. Each reaction shows a unique relationship with mass transport, highlighting the importance of understanding this relationship further to maximize the utility of organic electrosynthesis at scale.

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 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 score0.010
Threshold uncertainty score0.304

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 science0.0010.000
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 head0.005
GPT teacher head0.244
Teacher spread0.240 · 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 teacher head, 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

Citations27
Published2025
Admission routes1
Has abstractyes

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