Evidence map›Paper›PMID 40223454›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Scalable Lithium Niobate Nanoimprinting for Nonlinear Metalenses.

Ülle-Linda Talts, Helena Weigand, Irene Occhiodori, Rachel Grange

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. 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. Article
  3. Article
  4. Scalable Lithium Niobate Nanoimprinting for Nonlinear Metalenses.Advanced materials (Deerfield Beach, Fla.) · 2025
    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

4 authors.

Ülle-Linda TaltsDepartment of Physics, ETH Zurich, Institute for Quantum Electronics, Optical Nanomaterial Group, Auguste-Piccard-Hof, 1, 8093, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-8058-9254
Helena WeigandDepartment of Physics, ETH Zurich, Institute for Quantum Electronics, Optical Nanomaterial Group, Auguste-Piccard-Hof, 1, 8093, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-0558-5899
Irene OcchiodoriDepartment of Physics, ETH Zurich, Institute for Quantum Electronics, Optical Nanomaterial Group, Auguste-Piccard-Hof, 1, 8093, Zurich, Switzerland.ORCID https://orcid.org/0009-0007-2249-8355
Rachel GrangeDepartment of Physics, ETH Zurich, Institute for Quantum Electronics, Optical Nanomaterial Group, Auguste-Piccard-Hof, 1, 8093, Zurich, Switzerland.ORCID https://orcid.org/0000-0001-7469-9756

Funding

Horizon 2020 Framework Programme 714837Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 179099Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 213713
6 · The paper itself

Abstract

Miniaturizing nonlinear optical components is essential for integrating advanced light manipulation into compact photonic devices, enabling scalable and cost-effective applications. While monocrystalline lithium niobate thin films advance nonlinear nanophotonics, their high inertness limits the design of top-down fabricated nanostructures. A versatile bottom-up fabrication method based on nanoimprint lithography is presented for achieving polycrystalline lithium niobate nanostructures and demonstrate its significant potential for nonlinear metasurfaces. The fabrication enables nearly vertical features and aspect ratios of up to 6 combined, which we combine with a novel solution-derived material with high effective second-order nonlinearity d

Indexed as

lithium niobatemetasurfacenanoimprint  lithographynonlinear optics

Identifiers

PMID40223454
PMCPMC12243697

What OpenQuestion holds

Textmetadata
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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.