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Record W2337720832 · doi:10.25177/jnms.1.1.3

Smart Window Technologies: Electrochromics and Nanocellulose thin film Membranes and Devices

2017· article· en· W2337720832 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueSDRP Journal of Nanotechnology & Material Science · 2017
Typearticle
Languageen
FieldEngineering
TopicSmart Parking Systems Research
Canadian institutionsCanadian Natural ResourcesUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsNanocelluloseWindow (computing)Materials scienceMembraneNanotechnologyThin filmComputer scienceChemical engineeringEngineeringChemistryCelluloseWorld Wide Web

Abstract

fetched live from OpenAlex

Strategies for incorporating energy-efficiency requirements into building standards have been implemented by governments in developed countries in order to introduce the concept of green nanotechnology. Substituting regular glass windows in residential/commercial buildings with smart windows is the objective. The smart window is to function as electric dimming glass that is to be built with innovative nanomaterial based membranes/ coatings. Currently, the regular windows are made of glass and curtains/blinds are used to block sun light; eliminating such elements is of importance due to its limited functionality. Though these curtains/blinds blocks UV and prevents sun light illumination inside the rooms, but there are additional issues such as health hazards (e.g. dust and germ collection especially in hospitals) relating to asthma problems, disposal/recycling issues, regular cost, and maintenance which are some of the possible glitches. The smart window is expected to block harmful UV light and provide controlled privacy while also eliminating the problems related to curtains/blinds. Electrochromic (EC) smart windows are already in use that varies the throughput of visible light by electrical voltage or by solar energy application and are able to provide energy efficiency and indoor comfort. These smart windows comprises of electrochromic materials such as LixWO2.89 and HxNiO2 as cathodic and anodic oxide films, respectively, and other complex polymers, which are complicated to create, expensive and some are hazardous in nature. Nanocellulose (achieved from wood/pulp product) is already being used in flexible electronics, so nanomaterial membrane based suspended particle device (SPD) technology for smart window is a probable alternative to EC devices, but still under research. This paper reviews, introduces and discusses the present situation of both (EC and SPD) options for the state-of-the-art smart windows and its applications while also provide ample references to current literature of particular relevance and thereby, hopefully, an easy entrance to the research field. Also the paper presents an outlook for an innovative technology for smart-windows with SPD-EC technology to work as dimming glass on voltage application while also induce the capability of solar applications in smart windows leading to green nanotechnology in buildings.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.747

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.248
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it