Evidence map›Paper›PMID 41501202›Full record

ArticleNature2026

Soft photonic skins with dynamic texture and colour control.

Siddharth Doshi, Nicholas A Güsken, Gerwin Dijk, Johan Carlström, Jennifer E Ortiz-Cárdenas, Peter Suzuki, Bohan Li, Polly M Fordyce, Alberto Salleo, Nicholas A Melosh and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2026. 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. Review
  2. Article
  3. Article
  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

11 authors.

Siddharth DoshiGeballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA. sdos@stanford.edu.ORCID 0000-0001-6338-4863
Nicholas A GüskenGeballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4816-0666
Gerwin DijkDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0003-2482-9828
Johan CarlströmGeballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA.
Jennifer E Ortiz-CárdenasDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0009-0009-3954-9635
Peter SuzukiDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID 0000-0002-6108-0273
Bohan LiGeballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3928-8596
Polly M FordyceDepartment of Genetics, Stanford University, Stanford, CA, USA.ORCID 0000-0002-9505-0638
Alberto SalleoDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0002-7448-9123
Nicholas A MeloshGeballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA.ORCID 0000-0002-2601-1379
Mark L BrongersmaGeballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, USA. brongersma@stanford.edu.ORCID 0000-0003-1777-8970

Funding

Air Force Office of Sponsored ResearchDepartment of EnergyGerman National Academy of Sciences Leopoldina through the Leopoldina Postdoctoral Fellowship (LPDS2020-12). M.L.B. was supported by individual investigatorStanford Graduate Fellowship, a Meta PhD Fellowship and the Wu Tsai Human Performance Alliance at Stanford University and the Joe and Clara Tsai Foundation
6 · The paper itself

Abstract

The visual appearances of surfaces are influenced by their colour and texture. Although the creation and tuning of structural colours has been realized with nanostructures

Indexed as

BiomimeticsPhotonsSkinAnimalsCephalopodaColorPolymersSurface PropertiesPolymers

Identifiers

What OpenQuestion holds

Textmetadata
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.