Evidence map›Paper›PMID 42259796›Full record

ArticleNature communications2026

Metacrystals: inversely-designed 3D-printed intelligent panels for 6G communications.

Mohammad M Asgari, Peter B Catrysse, Shuai S A Yuan, Haiwen Wang, Shanhui Fan, Viktar Asadchy

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

6 authors.

Mohammad M AsgariAalto University, Department of Electronics and Nanoengineering, Espoo, Finland. mohammadmahdi.asgari@aalto.fi.ORCID http://orcid.org/0009-0005-5988-0844
Peter B CatrysseStanford University, E. L. Ginzton Laboratory, Department of Electrical Engineering, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2389-6044
Shuai S A YuanAalto University, Department of Electronics and Nanoengineering, Espoo, Finland.
Haiwen WangStanford University, E. L. Ginzton Laboratory, Department of Applied Physics, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-7414-0776
Shanhui FanStanford University, E. L. Ginzton Laboratory, Department of Electrical Engineering, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-0081-9732
Viktar AsadchyAalto University, Department of Electronics and Nanoengineering, Espoo, Finland. viktar.asadchy@aalto.fi.ORCID http://orcid.org/0000-0002-9840-4737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metasurfaces represent a promising platform for improving coverage in future communication systems. Passive designs are especially attractive because they need no power supply and can be manufactured at low cost. However, most passive metasurfaces work well only for one polarization, frequency band, or incidence angle, which limits their practical use. Here we propose passive intelligent panels, termed metacrystals, that overcome these limitations by enabling highly complex multiplexed responses to multiple incident waves simultaneously and independently. This capability is enabled by a compact volumetric architecture that goes beyond conventional metasurfaces by exploiting a finite, yet still modest, thickness to unlock substantially more degrees of freedom. Through simulations and experiments, we demonstrate all-dielectric metacrystals capable of simultaneously controlling anomalous reflection and absorption, both in transmission and reflection regimes. Designed using inverse topology optimization, these metacrystals combine structural integrity, straightforward scalability, and compatibility with low-cost 3D printing for operation up to 100 GHz.

Identifiers

PMID42259796
PMCPMC13247145

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.