Evidence map›Paper›PMID 41833001›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Random Time-Space Coding Metasurfaces for Spatial Control of the Temporal Statistics of Electromagnetic Fields.

Jia Cheng Li, Jiang Han Bao, Che Liu, Tie Jun Cui

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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.

Jia Cheng LiState Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0003-1280-0753
Jiang Han BaoState Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China.
Che LiuState Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China.
Tie Jun CuiState Key Laboratory of Millimeter Waves, Southeast University, Nanjing, China.ORCID https://orcid.org/0000-0002-5862-1497

Funding

China Postdoctoral Science Foundation 2024M760431National Natural Science Foundation of China 62288101State Key Laboratory of Millimeter Waves Z202501-01
6 · The paper itself

Abstract

Conventional methods to control electromagnetic (EM) fields via digital coding metasurfaces are basically focused on generating deterministic EM responses, such as beam forming, holographic imaging, and harmonic modulation, by employing specific coding patterns or sequences. In contrast, controlling random EM fields aims to produce EM fields with target temporal statistical properties, such as spatial mean and variance distributions. Here, we propose a framework to control the spatial distribution of temporal statistical properties of EM fields via random time-space coding metasurfaces (RTCM). We establish a statistical model of RTCM in probability space and reveal that the spatial mean and variance distributions of EM fields are determined by the marginal and pairwise joint distributions of the random codes. Time-varying random EM fields with desired mean and variance distributions are generated by the sampling codes constrained by these distributions. We further show that simultaneously direct transmission and jamming can be achieved via the spatial mean and variance peaks, respectively. This work extends the metasurface paradigm into the probability domain, marking a shift from deterministic response design to probabilistic structuring, and paving the way for new approaches in communication, information security, and EM countermeasures.

Indexed as

random electromagnetic fieldsrandom time‐space coding metasurfaces (RTCM)spatial controltemporal statistics

Identifiers

PMID41833001
PMCPMC13248767

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.