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Hybrid Printing for the Fabrication of Smart Sensors
Published on: January 31, 2019
Intelligent Multimodal Sensors Based on Two-Dimensional Materials: Fabrication, Decoupling, and Applications
Fanming Zeng1,2, Qiuyan Wang1, Qianqian Mo2
1College of Physics and Electronic Information Engineering, Minjiang University, Fuzhou, China.
Small (Weinheim an Der Bergstrasse, Germany)
|June 9, 2026
Summary
Two-dimensional materials enable advanced multimodal sensors for the Internet of Things (IoT), robotics, and human-computer interaction (HCI). This review details their fabrication, sensing mechanisms, and intelligent applications.
Area of Science:
- Materials Science
- Nanotechnology
- Sensor Technology
Background:
- Two-dimensional (2D) materials offer unique multi-stimulus responsiveness and excellent properties for advanced sensor technologies.
- Conventional single-modal sensors are insufficient for detecting multiple stimuli simultaneously in complex environments.
- The Internet of Things (IoT), robotics, and human-computer interaction (HCI) demand sophisticated sensing capabilities.
Purpose of the Study:
- To systematically review recent advancements in 2D materials for multimodal sensing.
- To outline fabrication processes, sensing mechanisms, and decoupling strategies for 2D multimodal sensors.
- To explore emerging intelligent applications of these sensors in robotics and HCI.
Main Methods:
- Review of fabrication strategies for multimodal sensors based on 2D materials.
- Analysis of sensing mechanisms and performance metrics for various stimuli.
- Emphasis on multi-level decoupling strategies including material engineering, device architecture, and AI algorithms.
- Discussion of applications in robotics and next-generation human-computer interfaces.
Main Results:
- 2D materials are crucial for developing advanced multimodal sensors.
- Effective decoupling strategies are essential for accurate multi-stimulus detection.
- Intelligent applications are emerging in robotics and HCI, leveraging the capabilities of 2D multimodal sensors.
- A comprehensive framework linking fabrication, sensing, decoupling, and applications is established.
Conclusions:
- Future research should focus on improving process scalability and expanding perception dimensions.
- Developing hardware-software collaborative decoupling methods is a key research direction.
- Enhancing system edge intelligence will further unlock the potential of 2D multimodal sensors.
- 2D materials are poised to drive significant progress in intelligent sensing systems.