Evidence map›Paper›PMID 42261235›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2026

Intelligent Multimodal Sensors Based on Two-Dimensional Materials: Fabrication, Decoupling, and Applications.

Fanming Zeng, Qiuyan Wang, Qianqian Mo, Qiaoqiao Zheng, Hongbing Zhan, Jiajie Pei

Abstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, 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

6 authors.

Fanming ZengCollege of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China.
Qiuyan WangCollege of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China.
Qianqian MoCollege of Materials Science and Engineering, Fuzhou University, Fuzhou, China.
Qiaoqiao ZhengCollege of Materials Science and Engineering, Fuzhou University, Fuzhou, China.
Hongbing ZhanCollege of Materials Science and Engineering, Fuzhou University, Fuzhou, China.
Jiajie PeiCollege of Materials Science and Engineering, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0000-0002-5580-1310

Funding

Minjiang University Fashu Charitable Foundation Donation Fund Research Project MFK24015Minjiang University Talent Research Funding MJY23006National Natural Science Foundation of China 52073061National Natural Science Foundation of China 52373283National Natural Science Foundation of China 52572157Natural Science Foundation of Fujian Province 2023J011399Natural Science Foundation of Fujian Province 2026J010019Shandong Provincial Natural Science Foundation ZR2022ME028
6 · The paper itself

Abstract

Two-dimensional (2D) materials, with their multi-stimulus responsiveness and excellent electrical/mechanical properties, have accelerated sensor technology advancement and promoted intelligent progress in the Internet of Things (IoT), robotics, and human-computer interaction (HCI). However, conventional single-modal sensors fall short in meeting the demand for synchronous detection of multiple stimuli in complex environments. This review systematically summarizes the recent progress of 2D materials in the field of multimodal sensing, systematically outlining their fabrication processes, multimodal sensing mechanisms and decoupling strategies, as well as emerging intelligent applications, and establishing a full-chain relationship encompassing fabrication, sensing mechanisms and performance, decoupling, and applications. First, we outline the key fabrication strategies for multimodal sensors and clarify their corresponding technical characteristics. Next, we analyze the sensing mechanisms and performance metrics for major target stimuli, emphasizing multi-level decoupling strategies spanning material engineering, device architecture design, and artificial intelligence algorithms. Subsequently, we introduce the typical intelligent applications of these sensors in robotics and next-generation human-computer interfaces. Finally, we outline future research directions, which mainly include four aspects: improving process scalability, expanding perception information dimensions, devising hardware-software collaborative decoupling methods and enhancing system edge intelligence.

Indexed as

intelligent perceptionmultimodal sensorrobot and human‐computer interactionsignal decouplingtwo‐dimensional materials

Identifiers

PMID42261235
PMCPMC13410837

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.