Evidence map›Paper›PMID 35840559›Full record

ArticleNature communications2022

Decapod-inspired pigment modulation for active building facades.

Raphael Kay, Charlie Katrycz, Kevin Nitièma, J Alstan Jakubiec, Benjamin D Hatton

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Multilayered optofluidics for sustainable buildings.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Raphael KayDepartment of Materials Science and Engineering, University of Toronto, Toronto, ON, M5S 3E4, Canada. raphael.kay@mail.utoronto.ca.ORCID 0000-0002-6382-351X
Charlie KatryczDepartment of Materials Science and Engineering, University of Toronto, Toronto, ON, M5S 3E4, Canada.
Kevin NitièmaJohn H. Daniels Faculty of Architecture, Landscape and Design, University of Toronto, Toronto, ON, M5S 2J5, Canada.
J Alstan JakubiecJohn H. Daniels Faculty of Architecture, Landscape and Design, University of Toronto, Toronto, ON, M5S 2J5, Canada.
Benjamin D HattonDepartment of Materials Science and Engineering, University of Toronto, Toronto, ON, M5S 3E4, Canada. benjamin.hatton@utoronto.ca.ORCID 0000-0002-8181-1344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Typical buildings are static structures, unable to adjust to dynamic temperature and daylight fluctuations. Adaptive facades that are responsive to these unsteady solar conditions can substantially reduce operational energy inefficiencies, indoor heating, cooling, and lighting costs, as well as greenhouse-gas emissions. Inspired by marine organisms that disperse pigments within their skin, we propose an adaptive building interface that uses reversible fluid injections to tune optical transmission. Pigmented fluids with tunable morphologies are reversibly injected and withdrawn from confined layers, achieving locally-adjustable shading and interior solar exposure. Multicell arrays tiled across large areas enable differential and dynamic building responses, demonstrated using both experimental and simulated approaches. Fluidic reconfigurations can find optimal states over time to reduce heating, cooling, and lighting energy in our models by over 30% compared to current available electrochromic technologies.

Indexed as

Cold TemperatureHeatingTemperature

Identifiers

PMID35840559
PMCPMC9287369

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.