Evidence map›Paper›PMID 42342664›Full record

ArticleNature communications2026

Intrinsically nonlocal metamaterials.

A Ware, J LaMountain, R C White, S R Bank, E Narimanov, D Wasserman, V A Podolskiy

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

A Ware *The Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0009-0002-5693-7727
J LaMountain *Department of Physics and Applied Physics, University of Massachusetts Lowell, Lowell, MA, USA.
R C WhiteThe Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0002-4294-2413
S R BankThe Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
E NarimanovDepartment of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
D WassermanThe Chandra Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.ORCID http://orcid.org/0000-0003-3234-0803
V A PodolskiyDepartment of Physics and Applied Physics, University of Massachusetts Lowell, Lowell, MA, USA. viktor_podolskiy@uml.edu.ORCID http://orcid.org/0000-0002-9907-758X

Funding

National Science Foundation (NSF) 2118787National Science Foundation (NSF) 2119302National Science Foundation (NSF) 2119757
6 · The paper itself

Abstract

The electromagnetic response of materials serves as the foundation for a broad range of vital applications, from imaging, to sensing, to classical and quantum communications. Here we demonstrate, theoretically and experimentally, a fundamentally new regime of electromagnetic material response originating from inherent material nonlocality. We show that by structuring materials on the intrinsic scale of this nonlocal response, it becomes possible to alter the electromagnetics of the composite, revealing the inherent nonlocal behavior of the constituent components. These intrinsically nonlocal metamaterials exhibit strong intrinsic (as opposed to effective) nonlocality, easily detectable at room temperatures, in realistic (lossy), macroscopic materials. Intrinsically nonlocal metamaterials open a new design space for electromagnetic composites, beyond photonic crystals, metasurfaces, and effective medium composites. This allows the control of electromagnetic fields at a deep subwavelength scale, revealing a new dimension for control of light-matter interactions.

Identifiers

PMID42342664
PMCPMC13448492

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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.