Mixed Molybdenum-Tungsten Oxide as Dual-Band, VIS-NIR Selective Electrochromic Material
Bibliographic record
Abstract
Energy efficiency of smart windows can be greatly improved by integrating dual-band electrochromic materials based on nanostructured doped metal oxides, as these will allow for a dynamic and independent control of light and heat supplies in buildings respectively related to transmitted visible (VIS) and near-infrared (NIR) solar radiations. Mixed molybdenum – tungsten oxides MoyW1-yO3-δ “MoWOx” are considered as innovative compounds in this context: in comparison with parent WO3-δ formulations, a remarkable increase of unpaired electrons can be obtained from the formation of a larger amount of both reduced species and oxygen vacancies during the synthetic process of MoWOx materials, with a consequently boosted intensity of light absorption by 850-900 nm wavelengths. Consecutively, spin-coated films obtained from MoWOx structures solvothermally synthesized for 1h from 2/1 Mo/W atomic ratios are shown to be electrochromically commutable through a noticeable VIS-darkened and NIR-transparent warm mode, while WO3-δ benchmarks classically evolve between bright (VIS & NIR bleached), cool (VIS-bleached, NIR-opaque) and dark (VIS & NIR opaque) states. All in all, such advanced optical functionalities are of high interest for fine-tuning the selectivity and improving the efficiency of electrochromic fenestration solutions, further improving their capacity to adapt to different climates, seasons, and users preferences.
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How this classification was reachedexpand
Full frame distilled prediction
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.009 |
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; both teacher heads agree on what is shown here.
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".