Evidence map›Paper›PMID 41390676›Full record

ArticleNature communications2025

In-situ physical adjoint computing in multiple-scattering electromagnetic environments for wave control.

John Guillamon, Cheng-Zhen Wang, Zin Lin, Tsampikos Kottos

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

John Guillamon *Wave Transport in Complex Systems Lab, Department of Physics, Wesleyan University, Middletown, CT, USA.
Cheng-Zhen Wang *Wave Transport in Complex Systems Lab, Department of Physics, Wesleyan University, Middletown, CT, USA.ORCID http://orcid.org/0000-0002-1383-2354
Zin LinBradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA.
Tsampikos KottosWave Transport in Complex Systems Lab, Department of Physics, Wesleyan University, Middletown, CT, USA. tkottos@wesleyan.edu.ORCID http://orcid.org/0000-0001-6769-5984

Funding

NSF | ENG/OAD | Division of Electrical, Communications and Cyber Systems (ECCS) 2148318Simons Foundation SFI-MPS-EWP-00008530-08United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF2410390United States Department of Defense | United States Navy | Office of Naval Research (ONR) ONR-N000142412548U.S. Department of Energy (DOE) DE-SC0024223
6 · The paper itself

Abstract

Controlling electromagnetic wave propagation in multiple scattering systems is a challenging endeavor due to the extraordinary sensitivity generated by strong multi-path contributions at any given location. Overcoming such complexity has emerged as a central research theme in recent years, motivated both by a wide range of applications - from wireless communications and imaging to optical micromanipulations - and by the fundamental principles underlying these efforts. Here, we show that an in-situ manipulation of the myriad scattering events, achieved through time- and energy-efficient adjoint optimization (AO) methodologies, enables real time wave-driven functionalities such as targeted channel emission, coherent perfect absorption, and camouflage. Our paradigm shift exploits the highly multi-path nature of these complex environments, where repeated wave-scattering dramatically amplifies small local AO-informed system variations. Our approach can be immediately applied to in-door wireless technologies and incorporated into diverse wave-based frameworks including imaging, power electronic and optical neural networks.

Identifiers

PMID41390676
PMCPMC12749979

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.