Evidence map›Paper›PMID 41786694›Full record

ArticleLight, science & applications2026

Balancing positive and negative luminescence for thermoradiative signatureless communications.

Michael P Nielsen, Stefan A Maier, Michael S Fuhrer, Nicholas J Ekins-Daukes

Abstract read
In one paragraph

Article in Light, science & applications, 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

4 authors.

Michael P NielsenSchool of Photovoltaic and Renewable Engineering, UNSW Sydney, Kensington, 2052, NSW, Australia. michael.nielsen@unsw.edu.au.ORCID http://orcid.org/0000-0002-0457-7208
Stefan A MaierSchool of Physics and Astronomy, Monash University, Clayton, 3800, VIC, Australia. stefan.maier@monash.edu.ORCID http://orcid.org/0000-0001-9704-7902
Michael S FuhrerSchool of Physics and Astronomy, Monash University, Clayton, 3800, VIC, Australia. michael.fuhrer@monash.edu.ORCID http://orcid.org/0000-0001-6183-2773
Nicholas J Ekins-DaukesSchool of Photovoltaic and Renewable Engineering, UNSW Sydney, Kensington, 2052, NSW, Australia. nekins@unsw.edu.au.ORCID http://orcid.org/0000-0003-1875-9739

Funding

Department of Education and Training | Australian Research Council (ARC) DE230100382Department of Education and Training | Australian Research Council (ARC) DP250102064RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/W017075/1
6 · The paper itself

Abstract

Ambient-temperature thermal infrared radiation is an underutilised resource for secure communications. Demonstrations of free-space data transfer using thermal radiation have been few, and have relied on intrinsically slow modulation of either the emissivity and/or physical temperature of a broadband blackbody emitter, severely limiting data transfer rates ( < 1 kHz). Here, we demonstrate a covert communications method in which photon emission is rapidly electrically modulated both above and below the level of a passive blackbody at the emitter temperature. The time-averaged emission can be designed to be identical to the thermal background, realizing communications with zero optical signature for detectors with bandwidth lower than the modulation frequency. We demonstrate this scheme using both electro- and negative luminescence in thermoradiative diodes, enabling data rates up to at least 100 kbps and modulation rates above 1 MHz. Future prospects for ultra-high-bandwidth (up to THz) emitters and detectors utilising meta-optics and 2D materials are discussed.

Identifiers

PMID41786694
PMCPMC12963501

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.