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

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.

Authors

Institutions

Publication Details

Journal
Small
Published
2026-06-09
DOI
https://doi.org/10.1002/smll.74106
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Fanming Zeng, Jiajie Pei, Qiaoqiao Zheng, Qianqian Mo et al.
Small
Advanced Sensor and Energy Harvesting Materials
article

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

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

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.

Small
Minjiang University (CN), Fuzhou University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Fujian Province, Natural Science Foundation of Shandong Province
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Advanced Sensor and Energy Harvesting Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.