A Bifunctional 2D Interlayered β‐Cu<sub>2</sub>V<sub>2</sub>O<sub>7</sub>/Zn<sub>2</sub>V<sub>2</sub>O<sub>6</sub> (CZVO) Heterojunction for Solar‐Driven Nonsacrificial Dye Degradation and Water Oxidation
Bibliographic record
Abstract
Investigating novel materials with controlled morphology for solar‐driven conversions is the foremost research emphasis in applied sciences. In continuation of those efforts, we report the unique synthesis of a novel trimetallic β‐Cu2V2O7/Zn2V2O6 (CZVO) hybrid with controlled morphology. The trimetallic CZVO demonstrates a bifunctional, non‐sacrificial photoresponse in the cases of 1) photocatalytic degradation using methylene blue (MB) as a model dye; and 2) photoelectrochemical (PEC) water oxidation. The X‐ray photoelectron spectroscopy (XPS) analysis of CZVO confirmed Type‐(I) heterojunction formation between β‐Cu2V2O7 (CVO) and Zn2V2O6 (ZVO). After visible light exposure (65 min), CZVO‐opt (1 wt% CVO: 5 wt% ZVO) demonstrated the highest photodegradation, while the CZVO‐opt photoanode delivered the highest photocurrent density (I ph) of 1.78 mA cm−2 at 1.23 VRHE, almost 3.11 and 1.55 times more than CVO (I ph = 0.57 mA cm−2) and ZVO (I ph = 1.15 mA cm−2) photoanodes, respectively. The CZVO‐opt photoanode harvested the most solar energy in terms of incident photon to current conversion efficiency (IPCE320 nm = 37.93%). The significant improvement in the CZVO‐opt performance can be attributed to the firm contact and uniform distribution of ZVO NPs over CVO interlayered nanosheets, which leads to adequate solar absorption and facile charge transport through a Type‐(I) heterojunction with suppresses charge recombination.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.000 |
| 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) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".