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Record W4390536218 · doi:10.26434/chemrxiv-2024-1gl4r

Attenuating N-oxyl Decomposition for Improved Hydrogen Atom Transfer Catalysts Design

2024· preprint· en· W4390536218 on OpenAlexafffund
Cheng Yang, Luke A. Farmer, Elvis C. McFee, Rahul Kant Jha, Stephen Maldonado, Derek A. Pratt, Corey R. J. Stephenson

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldEnergy
TopicElectrocatalysts for Energy Conversion
Canadian institutionsUniversity of Ottawa
FundersDivision of Chemical, Bioengineering, Environmental, and Transport SystemsNatural Sciences and Engineering Research Council of CanadaCompute CanadaNational Science Foundation
KeywordsChemistryPhthalimideCatalysisReactivity (psychology)ArylHeteroatomSteric effectsNucleophileElectrophileCombinatorial chemistryOrganic chemistryAlkyl

Abstract

fetched live from OpenAlex

The design of N-oxyl hydrogen atom transfer catalysts has proven challenging to date. Previous efforts have focused on the functionalization of the archetype phthalimide-N-oxyl. Driven in part by the limited options for modification of this structure, this strategy has provided only modest improvement in reactivity and/or solubility. Our previous mechanistic efforts have suggested that while the electron-withdrawing carbonyls of the phthalimide are necessary to maximize the O-H bond dissociation enthalpy of the HAT product hydroxylamine and thus overall reaction thermodynamics, they can undergo nucleophilic substitution leading to catalyst decomposition. In an attempt to minimize this vulnerability, this work replaces the aryl ring in PINO with the combination of a substituted heteroatom and quaternary carbon. By rendering one carbonyl carbon less electrophilic and the other less sterically accessible, the corresponding N1-aryl-hydantoin-N3-oxyl showed significantly higher stability than PINO as well as a modest improvement in reactivity. This proof-of-principle in new scaffold design may accelerate future HAT catalyst discovery and development.

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 score0.005

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 integrity0.0000.001
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 head0.020
GPT teacher head0.262
Teacher spread0.242 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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