(Invited) Smart Optical Coatings for Energy Saving, Anticounterfeiting and More
Bibliographic record
Abstract
Optical coating (OC) applications represent a multibillion dollar market worldwide. Their applications range from antireflective (AR) coatings found on most optical components, to narrowband optical interference filters used in telecommunication to low emissivity (low-e) coatings for buildings and automobiles. As the range of applications of OCs continuously broadens and the need for an increased performance/versatility increases, it is becoming increasingly important to develop thin film materials with novel nanostructures or based on unconventional materials to supply them with multifunctional properties. In this context, we have been exploring the characteristics of new smart thin film devices that integrate active materials in passive OC systems, specifically electrochromic (EC) WO 3 and thermochromic (TC) VO 2 . Regarding VO 2 , we have recently demonstrated the efficient use of new fabrication technologies such as High Power Impulse Magnetron Sputtering (HiPIMS) for low-temperature deposition of high performance coatings [1] which subsequently have been deposited onto polymeric substrates [2]. This approach could potentially lead to the possibility of retrofitting existing windows. The HiPIMS process has also been shown to result in VO 2 films which are three times more durable in stringent high temperature and humidity conditions (80°C and ~100% relative humidity) [3]. Another issue with VO 2 , aside from its high deposition temperature and durability, is its low visible transmittance ( T lum ). In this respect, we have recently explored the integration of VO 2 into a passive low-e type OC, such as dielectric|VO 2 |Ag|dielectric, to obtain a multifunctional architecture with tunable characteristics. Specifically, the use of silver allows one to lower the VO 2 ’s thickness while maintaining a respectable solar transmission variation (Δ T sol ) as a function of temperature; a lower thickness (and thus absorption) consequently results in a higher T lum . Indeed, we have shown a T lum of 58.2% with a Δ T sol of 7.1%. The presence of a thin Ag film also procures low emissivity properties, and prototype samples show values in the 0.1 range. This unique parameter combination could bring such TC films closer to commercial implementation. On the WO 3 side, we have recently developed new single material porous/dense WO 3 electrochromic interference filters [4] where both EC as well as interference effects are combined into a single structure. This offers the possibility to further control the transmittance and reflection spectra of such coatings for various applications: color shifting active security devices, variable AR coatings, advanced glazings for architectural glass and more. Controlling the refractive index is of importance, however, WO 3 films are also often plagued with low durability. In this respect, we are also presently exploring different film fabrication approaches. Preliminary results indicate that the resulting films can be deposited up to five times faster and display a significantly enhanced durability. [1] J.-P. Fortier, B. Baloukas, O. Zabeida, J.E. Klemberg-Sapieha, L. Martinu, "Thermochromic VO 2 thin films deposited by HiPIMS," Sol. Energ. Mat. Sol. C. 125 , 291–296 (2014). [2] S. Loquai, B. Baloukas, O. Zabeida, J.E. Klemberg-Sapieha, L. Martinu, "HiPIMS-deposited thermochromic VO 2 films on polymeric substrates," Sol. Energ. Mat. Sol. C. 155 (2016) 60-69. [3] S. Loquai, B. Baloukas, J.E. Klemberg-Sapieha, L. Martinu, "HiPIMS-deposited thermochromic VO 2 films with high environmental stability," Sol. Energ. Mat. Sol. C. 160 (2017) 217-224. [4] B. Baloukas, J.-M. Lamarre, L. Martinu, "Electrochromic interference filters fabricated from dense and porous tungsten oxide films," Sol. Energ. Mat. Sol. C. 95 (2011) 807-815.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 teacher head, 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".