Thermochemical and Kinetic Correlations of Redox and Lewis Sites on Cobalt–Molybdenum Oxides: Illustrated with Alkanol-O<sub>2</sub> Catalysis
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Bibliographic record
Abstract
Electronic properties of redox and Lewis acid sites on bifunctional metal oxides are inherently correlated to each other, a phenomenon that has long been recognized but not yet explicitly and quantitatively illustrated. Using alkanol oxidative dehydrogenation (ODH) and inter- and intramolecular dehydration (inter- and intra-DEH) kinetics as the respective thermochemical/electronic proxies for redox and Lewis acid sites, we elucidate the thermochemical and electronic correlations of these two types of sites on Co y MoO x domains with Co-to-Mo atomic ratio ( y ) varying from 0 to 1. At redox sites (O*), alkanol ODH occurs via a late, kinetically relevant C α –H scission transition state [O··· H··· RH C O···M n + ] ‡, involving a net H atom (H • ), arising from an electron (e – ) and a proton (H + ) transfer to a redox site, making hydrogen addition energy (HAE) as the kinetic descriptor, encapsulating the negative of electron (–EA MO ) and proton (–PA O – ) affinities of catalysts. At Lewis acid sites, alkanol inter-DEH proceeds via S N 2-type substitution with the [O δ− ··· H··· RH 2 C O···C H 2 R ···O H···M δ+ ] ‡ transition state, while intra-DEH, whether uni- or bimolecular, occurs via E2-type elimination through the [O δ− ··· H··· R′H C H 2 C ⊕ ··· ⊖ O H···M δ+ ] ‡ and [RH 2 C(H)O δ− ··· H··· R′H C H 2 C ⊕ ··· ⊖ O H···M δ+ ] ‡ transition states. These DEH pathways involve C–O scission in their respective transition states, where an electron and a • OH radical transfer as a ⊖ OH group to the Lewis acid center ( M δ+ –O δ– ). Consequently, the negative ⊖ OH affinity (–HA ⊖OH ) serves as an incomplete kinetic descriptor, encapsulating the same negative electron affinity and the negative • OH affinity (–HA •OH ) of catalysts. The common electron transfer during the evolution of all these transition states in alkanol ODH and DEH entails the electron affinity of metal oxides to determine their relative activation enthalpies. On Co y MoO x, introducing Co cations as electronic perturbators increases the electron affinity of these oxides, thereby reducing both HAE at redox sites and –HA ⊖OH at Lewis acid sites, which proportionally decreases the activation enthalpies for C α –H scission in methanol, ethanol, n -propanol, and n -butanol ODH; C–O formation in methanol and ethanol inter-DEH; and C β –H scission in uni- and bimolecular n -propanol and n -butanol intra-DEH, as the Co-to-Mo atomic ratio increases. These linear kinetic correlations in activation enthalpies between alkanol ODH and DEH explicitly illustrate the thermochemical and electronic correlations between redox and Lewis acid sites and the resulting interplay between their turnover rates after accounting for activation enthalpy–entropy compensations. The mechanistic interpretation and framework established here correlate the kinetic, thermochemical, and electronic properties of redox and Lewis acid sites, providing insights into reactivity couplings between redox and Lewis acid catalysis on other bifunctional domains.
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Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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