Evidence map›Paper›PMID 41125601›Full record

ArticleLight, science & applications2025

All-optical processors by 3D printable photochromic materials.

Francesca D'Elia, Lorenzo Lavista, Sibilla Orsini, Andrea Camposeo, Dario Pisignano

Abstract read
In one paragraph

Article in Light, science & applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Encoding and Encryption via Dual-Wavelength 3D Digital Light Processing.Angewandte Chemie (International ed. in English) · 2026
    Article
  2. Review
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.

Francesca D'EliaNEST, Scuola Normale Superiore, Pisa, 56127, Italy.
Lorenzo LavistaDipartimento di Fisica, Università di Pisa, Pisa, 56127, Italy.
Sibilla OrsiniNEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Pisa, 56127, Italy.
Andrea CamposeoNEST, Istituto Nanoscienze-CNR and Scuola Normale Superiore, Pisa, 56127, Italy. andrea.camposeo@cnr.it.
Dario PisignanoDipartimento di Fisica, Università di Pisa, Pisa, 56127, Italy. dario.pisignano@unipi.it.ORCID http://orcid.org/0000-0003-3758-5199

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 682157
6 · The paper itself

Abstract

Developing new responsive materials whose physico-chemical properties can be controlled and tailored by external stimuli is fundamental for many modern technologies. In this framework, 3D-printable photochromic materials and systems for all-optical data processing might enable remote addressing, by optical control of their response with high spatiotemporal accuracy, thus supporting the development of new computing and sensing platforms with multidimensional fashion. Here, we introduce 3D-printable photochromic materials based on either a spiropyran molecular system or a diarylethene derivative shaped by digital light processing. Dynamically controlling transmitted light by the intensity and sequence of incoming signals, these materials exhibit robust photoswitching cycles, long-term optically-textured information storage, and are used in 3D printed devices capable of all-optical arithmetic and logic processing. These compounds and devices open a route to new 3D all-organic all-optical computing platforms, and to new schemes and architectures for advanced microscopy, sensing, and physical intelligence.

Identifiers

PMID41125601
PMCPMC12546934

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.