Bismuth Gadolinium Oxychloride with a Remarkable Visible‐Light‐Responsive O<sub>2</sub> Evolution Activity Promoted by Iodine Doping
Bibliographic record
Abstract
Abstract Visible‐light‐responsive bismuth‐based oxyhalide has recently attracted extensive attention, however, the promotion of its charge separation is still challenging. Herein, we introduce iodine into Bi2GdO4Cl to synthetize I‐doped Bi2GdO4Cl (denoted as yI−Bi2GdO4Cl, 0≤y≤2). The incorporation of I− ions is found to enhance light absorption and to accelerate charge separation by combining various characterizations such as density functional theory calculation, photoelectrochemical test, electrochemical impedance spectroscopy, photoluminescence spectrum, and open‐circuit voltage decay. The O2‐evolving performances of 1I−Bi2GdO4Cl with optimized dopant concentration of I− ion and IrO2 loaded 1I−Bi2GdO4Cl are tremendously enhanced by ca. 4 and 45 times compared to pristine Bi2GdO4Cl. Notably, The O2 evolution rate reaches as high as 154.8 μmol ⋅ h−1 with an apparent quantum efficiency of ∼1.1 % at 420 nm. The synthetic iodine‐doped photocatalyst remains stable after long‐term photoreaction, demonstrating its potential in the field of photocatalysis.
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 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) | 0.000 | 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".