Evidence map›Paper›PMID 42455649›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Field-Programmable Mobile Magneto-Photonic Metaparticles for Active Light Manipulation and Steering.

Seung Yeol Lee, Yujie Luo, Ognjen Ilic

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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

3 authors.

Seung Yeol LeeDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, USA.
Yujie LuoDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, USA.
Ognjen IlicDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, USA.

Funding

Air Force Office of Scientific Research FA9550-22-1-0070MRSEC program DMR-2011401National Nanotechnology Coordinated Infrastructure ECCS-2025124National Science Foundation CMMI-2318094
6 · The paper itself

Abstract

Controlling the flow of light within complex and dynamic environments is essential for a wide range of applications, from deep-tissue imaging and optogenetics to precision phototherapy. Typically, such light flows are controlled using external optical systems requiring line-of-sight access or by embedded nanoparticle scatterers with limited directional control, underscoring the need for mobile photonic agents capable of actively delivering and steering light within complex media. Here, we present magneto-photonic metaparticles: mobile, magnetically actuated microstructures that integrate a magnetic core with a nanoimprinted photonic surface. This hybrid design merges the reconfigurability of photonic metasurfaces with the mobility of magnetic actuation, enabling programmable translation, rotation, and real time beam steering in aqueous media. In a proof-of-concept demonstration, we realize polymeric metaparticles with an embedded magnetic core and a nanoimprinted surface that exhibit controlled locomotion and active, magnetically programmable beam steering. Our design approach further points to more sophisticated metaparticle designs with high-efficiency, polarization-insensitive light steering, compatible with a scalable, single-step nanoimprint process. The mobile magneto-photonic metaparticle platform combines metasurface-level optical control with magnetic mobility, offering a versatile and scalable approach for active photonic control in complex environments.

Indexed as

active beam steeringfunctional microparticlesmagnetic actuationmobile optical elementsnanoimprint lithographyoptical metasurfaces

Identifiers

PMID42455649
PMCPMC13496083

What OpenQuestion holds

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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.